Iranian Journal of Fuzzy SystemsIranian Journal of Fuzzy Systems
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Feed provided by Iranian Journal of Fuzzy Systems. Click to visit.cover Vol.16,no.3- June 2019
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Fri, 31 May 2019 19:30:00 +0100Properties of fuzzy relations and aggregation process in decision making
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In this contribution connections between input fuzzy relations R1, . . . ,Rn on a set X and the output fuzzy relationRF = F(R1, . . . ,Rn) are studied. F is a function of the form F : [0, 1]n → [0, 1] and RF is called an aggregated fuzzyrelation. In the literature the problem of preservation, by a function F, diverse types of properties of fuzzy relationsR1, . . . ,Rn is examined. Here, it is considered the converse approach. Namely, fuzzy relation RF = F(R1, . . . ,Rn) isassumed to have a given property and then it is checked if fuzzy relations R1, . . . ,Rn have this property. Moreover, adiscussion on the mentioned two approaches is provided. The properties, which are examined in this paper, depend ontheir notions on binary operations B : [0, 1]2 → [0, 1]. By incorporating operation B these properties are generalizedversions of known properties of fuzzy relations.Fri, 28 Jun 2019 19:30:00 +0100A fuzzy reasoning method based on compensating operation and its application to fuzzy systems
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In this paper, we present a new fuzzy reasoning method based on the compensating fuzzy reasoning (CFR). Its basicidea is to obtain a new fuzzy reasoning result by moving and deforming the consequent fuzzy set on the basis of themoving, deformation, and moving-deformation operations between the antecedent fuzzy set and observation information.Experimental results on real-world data sets show that proposed method significantly improve the accuracy and timeperformance of fuzzy neural network learning.Fri, 28 Jun 2019 19:30:00 +0100Determining appropriate weight for criteria in multi criteria group decision making problems ...
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Decision matrix in group decision making problems depends on a lot of criteria. It is essential to know the necessity ofweight or coefficient of each criterion. Accurate and precise selection of weight will help to achieve the intended goal.The aim of this article is to introduce a linear programming model for recognizing the importance of each criterion inmulti criteria group decision making with intuitionistic fuzzy data through similarity measure between each alternativeand ideal alternative. Based on this model, decision makers and experts will be prevented from making mistakes inrecognizing the weight and shape of standardization of their mental measurement units. By using of determined weights,the alternatives will be ranked according to a new method based on ELECTRE III method. An applied and numericalexample is presented and the obtained results are compared with other methods.Fri, 28 Jun 2019 19:30:00 +0100Refueling problem of alternative fuel vehicles under intuitionistic fuzzy refueling waiting ...
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Using alternative fuel vehicles is one of the ways to reduce the consumption of fossil fuels which have many negative environmental effects. An alternative fuel vehicle needs special planning for its refueling operations because of some reasons, e.g. limited number of refueling stations, uncertain refueling queue times in the stations, variable alternative fuel prices among the stations, etc. In this paper, a new problem as refueling an alternative fuel vehicle on a given path is formulated to minimize the cost of refueling and waiting times in the stations for refueling operations, simultaneously. To be more close to real-world situations, the waiting times are considered as intuitionistic fuzzy numbers in order to reflect uncertainty as well as hesitation due to various uncontrollable factors. To cope with the uncertainty of the problem, an intuitionistic fuzzy chance constrained method based on credibility measure is proposed to convert the fuzzy formulation to a crisp model. In order to tackle the bi-objective crisp formulation, a new interactive fuzzy solution method is proposed. A computational study on a real case from Turkey shows that the performance of the presented method is either better or the same as the approaches of the literature.}Fri, 28 Jun 2019 19:30:00 +0100Scattered data approximation of fully fuzzy data by quasi-interpolation
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Fuzzy quasi-interpolations help to reduce the complexity of solving a linear system of equations compared with fuzzy interpolations. Almost all fuzzy quasi-interpolations are focused on the form of $widetilde{f}^{*}:mathbb{R}rightarrow F(mathbb{R})$ or $widetilde{f}^{*}:F(mathbb{R})rightarrow mathbb{R}$. In this paper, we intend to offer a novel fuzzy radial basis function by the concept of source distance. Then, we will construct a fuzzy linear combination of such basis functions in order to introduce a fully fuzzy quasi-interpolation in the form of $widetilde{f}^{*}:F(mathbb{R})rightarrow F(mathbb{R})$. Also the error estimation of the proposed method is proved in terms of the fully fuzzy modulus of continuity which will be introduced in this paper. Finally some examples have been given to emphasize the acceptable accuracy of our method.Fri, 28 Jun 2019 19:30:00 +0100Categories of lattice-valued closure (interior) operators and Alexandroff L-fuzzy topologies
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Galois connection in category theory play an important role inestablish the relationships between different spatial structures. Inthis paper, we prove that there exist many interesting Galoisconnections between the category of Alexandroff $L$-fuzzytopological spaces, the category of reflexive $L$-fuzzyapproximation spaces and the category of Alexandroff $L$-fuzzyinterior (closure) spaces. This indicates that there is a closeconnection between the three structures.Fri, 28 Jun 2019 19:30:00 +0100A modified position value for communication situations and its fuzzification
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Myerson treated various situations of cooperation in the field of cooperative games and proposed the communication structure. In this paper, we define and characterize an allocation rule in terms of the position value, called an average spanning tree solution, for communication situations by introducing a concept of cooperation relationship which says that two players are deemed to possess this relationship if there is a communication path through them. Considering the fact that the extent to what players participate in a coalition may be partially restricted for uncertain possibilities, we construct a graph game in multilinear extension form and continue to explore the fuzzy average spanning tree solution on a framework of communication situation with fuzzy coalition.Fri, 28 Jun 2019 19:30:00 +0100Multiple attribute decision making with triangular intuitionistic fuzzy numbers based on ...
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For many decision problems with uncertainty, triangular intuitionistic fuzzy number is a useful tool in expressing ill-known quantities. This paper develops a novel decision method based on zero-sum game for multiple attribute decision making problems where the attribute values take the form of triangular intuitionistic fuzzy numbers and the attribute weights are unknown. First, a new value index is defined for triangular intuitionistic fuzzy numbers on the basis of the centroid. Thereby, a new ranking approach is presented for comparing triangular intuitionistic fuzzy numbers. We formulate a multiple attribute decision making problem as a two-person zero-sum game with payoffs of triangular intuitionistic fuzzy numbers. Then, following the new ranking approach, the fuzzy matrix game is converted as a pair of crisp linear programming models, and the optimal strategies are objectively derived by solving such models. Therefore, the ranking order of alternatives is determined by the expected scores of alternatives. An example of video monitoring system selection is demonstrated to illustrate the effectiveness of the proposed methodology.Fri, 28 Jun 2019 19:30:00 +0100A new vector valued similarity measure for intuitionistic fuzzy sets based on OWA operators
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Plenty of researches have been carried out, focusing on the measures of distance, similarity, and correlation between intuitionistic fuzzy sets (IFSs).However, most of them are single-valued measures and lack of potential for efficiency validation.In this paper, a new vector valued similarity measure for IFSs is proposed based on OWA operators.The vector is defined as a two-tuple consisting of the similarity measure and uncertainty measure, in which the latter is the uncertainty of the former.OWA operators have the ability to aggregate all values in the universe of discourse of IFSs, and to determine the weights according to specific applications.A framework is built to measure similarity between IFSs.A series of definitions and theorems are given and proved to satisfy the corresponding axioms defined for IFSs.In order to illustrate the effectiveness of the proposed vector valued similarity measure,a classification problem is used as an application.Fri, 28 Jun 2019 19:30:00 +0100Decentralized prognosis of fuzzy discrete-event systems
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This paper gives a decentralized approach to the problem of failure prognosis in the framework of fuzzy discrete event systems (FDES). A notion of co-predictability is formalized for decentralized prognosis of FDESs, where several local agents with fuzzy observability rather than crisp observability are used in the prognosis task. An FDES is said to be co-predictable if each faulty event can be predicted prior to its occurrence by at least one local agent using the observability of fuzzy events. The verification of the decentralized predictability is performed by constructing a fuzzy co-verifier from a given FDES. The complexity of the fuzzy co-verifier is polynomial with respect to the FDES being predicted, and is exponential with respect to the number of the local prognosis agents. Then, a necessary and sufficient condition for the co-predictability of FDESs is given. In addition, we show that the proposed method may be used to deal with the decentralized prognosis for both FDESs and crisp DESs. Finally, to illustrate the effectiveness of the approach, some examples are provided.Fri, 28 Jun 2019 19:30:00 +0100A new method for solving fuzzy multi-objective linear programming problems
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The purpose of this paper is to develop a new two-stage method for fuzzy multi-objective linear program and apply to engineering project portfolio selection. In the fuzzy multi-objective linear program, all the objective coefficients, technological coefficients and resources are trapezoidal fuzzy numbers (TrFNs). An order relationship for TrFNs is introduced by using the interval expectation of TrFNs. In the first stage, the fuzzy multi-objective linear program with TrFNs is transformed into an interval multi-objective linear program according to the order relationship of TrFNs. Combining the ranking order relation between intervals with the satisfactory crisp equivalent forms of interval inequality relations, the interval multi-objective linear program is further transformed into a crisp multi-objective linear program. In the second stage, the positive and negative ideal solutions are calculated as well as the closeness degrees from the positive ideal solution to all objectives on the basis of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Then, using the closeness degrees, we convert the crisp multi-objective linear program into mono-objective program to solve. The proposed method is not only mathematically rigorous, but also can adequately consider the acceptance degree of decision maker that the fuzzy constraints may be violated. The other possible cases of the fuzzy multi-objective linear program are also discussed. The proposed method is illustrated by means of a project portfolio selection problem.Fri, 28 Jun 2019 19:30:00 +0100An efficient approach for availability analysis through fuzzy differential equations and ...
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This article formulates a new technique for behavior analysis of systems through fuzzy Kolmogorov's differential equations and Particle Swarm Optimization. For handling the uncertainty in data, differential equations have been formulated by Markov modeling of system in fuzzy environment. First solution of these derived fuzzy Kolmogorov's differential equations has been found by Runge-Kutta fourth order method and thereafter the solution has been improved by Particle Swarm Optimization. Fuzzy availability is estimated in its transient as well as steady states. Sensitivity analysis has also been done to find the relative importance of a particular component of the system. Butter oil processing plant as an industrial system has been studied as a case for application of the proposed approach.Fri, 28 Jun 2019 19:30:00 +0100Quantale-valued fuzzy Scott topology
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The aim of this paper is to extend the truth value table oflattice-valued convergence spaces to a more general case andthen to use it to introduce and study the quantale-valued fuzzy Scotttopology in fuzzy domain theory. Let $(L,*,varepsilon)$ be acommutative unital quantale and let $otimes$ be a binary operationon $L$ which is distributive over nonempty subsets. The quadruple$(L,*,otimes,varepsilon)$ is called a generalized GL-monoid if$(L,*,varepsilon)$ is a commutative unital quantale and the operation $*$ is$otimes$-semi-distributive. For generalized GL-monoid $L$ as thetruth value table, we systematically propose the stratified$L$-generalized convergence spaces based on stratified $L$-filters,which makes various existing lattice-valued convergence spaces asspecial cases. For $L$ being a commutative unital quantale, wedefine a fuzzy Scott convergence structure on $L$-fuzzy dcpos anduse it to induce a stratified $L$-topology. This is the inducing wayto the definition of quantale-valued fuzzy Scott topology, whichseems an appropriate way by some results.Fri, 28 Jun 2019 19:30:00 +0100Fuzzy transferable-utility games: a weighted allocation and related results
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By considering the supreme-utilities among fuzzy sets and the weights among participants simultaneously, we introduce the supreme-weighted value on fuzzy transferable-utility games. Further, we provide some equivalent relations to characterize the family of all solutions that admit a potential on weights. We also propose the dividend approach to provide alternative viewpoint for the potential approach. Based on these equivalent relations, several axiomatic results are also proposed to present the rationality for the supreme-weighted value.Fri, 28 Jun 2019 19:30:00 +0100Persian-translation Vol.16, No.3, June 2019
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Fri, 31 May 2019 19:30:00 +0100(1710-3525) MOBILE ROBOT WALL-FOLLOWING CONTROL USING A BEHAVIOR-BASED FUZZY CONTROLLER IN ...
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This paper addresses a behavior-based fuzzy controller (BFC) formobile robot wall-following control. The wall-following task is usually usedto explore an unknown environment. The proposed BFC consists of threesub-fuzzy controllers, including Straight-based Fuzzy Controller (SFC), Left-based Fuzzy Controller (LFC), and Right-based Fuzzy Controller (RFC). Theproposed wall-following controller has three characteristics: the mobile robotkeeps a distance from the wall, the mobile robot has a high moving velocity, andthe mobile robot has a good robustness ability of disturbance. The proposedBFC will be used to control the real mobile robot. The Pioneer 3-DX mobilerobot has sonar sensors in front and sides, and it is used in this study. Theinputs of BFC are sonar sensors data and the outputs of BFC are robotsleft/right wheel speed. Experimental results show that the proposed BFCsuccessfully performs the mobile robot wall-following task in a real unknownenvironment.Sat, 01 Sep 2018 19:30:00 +0100(1710-3995) A BI-OBJECTIVE MODEL FOR A SCHEDULING PROBLEM OF UNRELATED PARALLEL BATCH ...
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This paper considers a bi-objective model for a scheduling problemof unrelated parallel batch processing machines to minimize the makespan andmaximum tardiness, simultaneously. Each job has a specic size and the datacorresponding to its ready time, due date and processing time-dependent machineare uncertain and determined by trapezoidal fuzzy numbers. Each machine hasa specific capacity, in which the number of jobs assigned to each batch on themachine does not violate the machine capacity. The batch processing time, thebatch ready time and the batch due date are presented by the longest processingtime, the longest ready time and the shortest due date of the jobs that belong tothe batch, respectively. To determine the longest and shortest time, the methodsuggested by Jimnez et al.[18] is used for ranking the fuzzy numbers. A bi-objective fuzzy mixed-integer linear programming model is proposed and solvedby two exact methods (i.e., two-phase fuzzy and -constraint) for small-sizedproblems to obtain a set of Pareto solutions. Because the problem belongs to theclass NP-hard, two meta-heuristics, namely fuzzy non-dominated sorting geneticalgorithm (FNSGA-II) and fuzzy multi-objective discrete teachinglearning-basedoptimization (FMODTLBO), are proposed. Then, the comparison of results isillustrated to show their performances. Furthermore, a new representation of thesolutions is a matrix with two rows and N columns (i.e., jobs) used to assign thejobs to the batches that processed on the machines.Sun, 16 Dec 2018 20:30:00 +0100(1804-4416) MIGRATIVITY EQUATIONS AND MAYOR'S AGGREGATION OPERATORS
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There has been a growing interest in the study of the notion of α-migrativity and generalizations in recent years, and it has been investigated forfamilies of certain operators such as t-norms, t-conorms, uninorms, nullnorms.This paper is mainly devoted to investigating the migrativity equations be-tween semi-t-operators or semi-uninorms, and Mayor's aggregation operators.The results that we obtain are complete and different from the known onesconcerning migrativity for t-norms, t-conorms, uninorms and nullnorms.Sun, 16 Dec 2018 20:30:00 +0100(1806-4503) A MODIFIED BRANCH AND BOUND ALGORITHM FOR A VAGUE FLOW-SHOP SCHEDULING PROBLEM
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Uncertainty plays a significant role in modeling and optimizationof real world systems. Among uncertain approaches, fuzziness describes im-preciseness while for ambiguity another definition is required. Vagueness is aprobabilistic model of uncertainty being helpful to include ambiguity into mod-eling different processes especially in industrial systems. In this paper, a vagueset based on distance is used to model a ow-shop scheduling problem being animportant problem in assembly production systems. The vagueness being usedas octagon numbers are employed to represent vague processes for the manu-facturing system. As a modeling effort, rst a ow-shop scheduling problem ishandled with vagueness. Then, for solving and analyzing the proposed vague ow-shop scheduling model, a modified Branch and Bound algorithm is pro-posed. As an implementation, an example is used to explain the performanceand to analyze the sensitivity of the proposed vague approach. The validity ofthe proposed model and modified algorithm is demonstrated through a robustranking technique. The outputs help the decision makers to counteract thevagueness and handle operational decisions in ow-shop scheduling problemswithin dynamic environments.Tue, 25 Dec 2018 20:30:00 +0100(1801-4213) ASYMPTOTIC ALGORITHM FOR COMPUTING THE SAMPLE VARIANCE OF INTERVAL DATA
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he problem of the sample variance computation for epistemic interval-valued data is, in general, NP-hard. There-fore, known efficient algorithms for computing variance require strong restrictions on admissible intervals like the no-subset property or heavy limitations on the number of possible intersections between intervals. A new asymptotic algorithm for computing the upper bound of the sample variance in a feasible time is proposed. Conditions required for its application with finite samples are discussed and some properties of the algorithm are also given. It appears that our new algorithm could be effectively applied in definitely more situations than methods used so far.Fri, 28 Dec 2018 20:30:00 +0100(1709-3934) CORRELATION COEFFICIENTS OF LINGUISTIC INTERVAL HESITANT FUZZY SETS AND THEIR ...
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To address the hesitancy, inconsistency and uncertainty of deci-sion makers cognitions, linguistic interval hesitant fuzzy sets (LIHFSs) areeffcient tools. This paper focuses on studying the application of LIHFSs. Todo this, two correlation coeffcients of LIHFSs are defined, which needn't con-sider the length of elements in LIHFSs or the arrangement of their possibleinterval values. To address the situation where the weights of elements in aset are different and correlative, two linguistic interval hesitant fuzzy Shapleyweighted correlation coeffcients are defined. Considering the situation wherethe weight information of features/attributes is partly known, programmingmodels to determine the optimal fuzzy measures on them are constructed, re-spectively. After that, an approach to pattern recognition and multi-attributedecision making with linguistic interval hesitant fuzzy information is devel-oped, respectively. Meanwhile, illustrative examples about medical diagnosisand selecting constructors for tunnel bidding are selected to verify the appli-cation of new approaches, and comparison with a previous method is offered.Tue, 01 Jan 2019 20:30:00 +0100(1712-4126) INTERVAL-VALUED INTUITIONISTIC FUZZY AGGREGATION METHODOLOGY FOR DECISION MAKING ...
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Interval-valued intuitionistic fuzzy sets (IVIFSs), a generalizationof fuzzy sets, is characterized by an interval-valued membership function, aninterval-valued non-membership function. The objective of this paper is todeal with criteria aggregation problems using IVIFSs where there exists a pri-oritization relationship over the criteria. Based on the Lukasiewicz triangularnorm, we first propose a prioritized arithmetic mean to IVIF multi-criteriadecision making (MCDM) problem where there is a linear ordering among thecriteria. The proposed aggregation operator overcomes the existing prioritizedaggregation operator's shortcomings that it is not monotone with respect tothe total order on interval-valued intuitionistic fuzzy values (IVIFVs). We al-so prove that it is bounded and monotone with respect to the total order onIVIFVs, and therefore is a true generalization of such operations. We finallypropose an aggregation operators-based two-step procedure to IVIF MCDMin the situation that more than one criteria exist at some priority level.Tue, 01 Jan 2019 20:30:00 +0100(1805-4469) DOPPLER AND BEARING TRACKING USING FUZZY ADAPTIVE UNSCENTED KALMAN FILTER
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The topic of Doppler and Bearing Tracking (DBT) problem isto achieve a target trajectory using the Doppler and Bearing measurements.The diffculty of DBT problem comes from the nonlinearity terms exposedin the measurement equations. Several techniques were studied to deal withthis topic, such as the unscented Kalman filter. Nevertheless, the performanceof the filter depends directly on the prior knowledge, involving the accuratemodel, sufficient information of the noise distribution and the suitable ini-tialization. To address these problems, in this paper, a new adaptive factortogether with a fuzzy logic system is proposed for online adjusting the processand the measurement noise covariance matrices simultaneously. In the coreof the proposed algorithm, the fault detection procedure is also adopted toreduce the computational time. The theoretical developments are investigatedby simulations, which indicate the effectiveness of the proposed lter in DBTproblem.Sat, 19 Jan 2019 20:30:00 +0100(1802-4282) THE 2-ADDITIVE FUZZY CHOQUET INTEGRAL BASED-TODIM METHOD WITH IMPROVED SCORE ...
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Recently, the TODIM1(an acronym in Portuguese of interactive and multi-criteria decision making)method has attracted increasing attention and many researchers have extended it to deal with multiple attributedecision making (MADM) problems under different situations. However, none of them can be used to handleMADM problems with positive, independent, and negative interactions among attributes, which restricts theapplicability of TODIM method. Therefore, in this paper, we propose the 2-additive fuzzy Choquet integralbased-hesitant fuzzy TODIM method to deal with this situation. To begin with, we propose the novel measuredfunction to compare the magnitude of hesitant fuzzy elements, which has been proved to be more rational andefficient than existing approaches. Then we use nonlinear programming to obtain 2-additive fuzzy measuresand then put forward novel Choquet integral based-dominance degree to calculate the dominance degree ofone alternative over another under all attributes. Consequently, we then calculate the global value of eachalternative whereby we can rank all the alternatives. Finally, an illustrate example is used to demonstrate theefficiency and applicability of the proposed approach with sensitivity analysis.Sun, 20 Jan 2019 20:30:00 +0100(1711-4074) FUZZY UNIVERSAL ALGEBRAS ON L-SETS
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This paper attempts to generalize universal algebras on classicalsets to L-sets when L is a GL-quantale. Some basic notions of fuzzy universalalgebra on an L-set are introduced, such as subalgebra, quotient algebra,homomorphism, congruence, and direct product etc. The properties of themare studied. L-valued power algebra is also introduced and it is shown there isan onto homomorphism from P(A)/R+ to P(A/R) for any congruence R onL-set A.Mon, 11 Feb 2019 20:30:00 +0100(1802-4310) DEGREE OF F-IRRESOLUTE FUNCTION IN (L,M)-FUZZY TOPOLOGICAL SPACES
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In this paper, we present a new vision for studying F-open, F-continuous,and F-irresolute function in (L,M)-fuzzy topological spaces basedon the implication operation and (L,M)-fuzzy F-open operator [3]. Thesekinds of functions are generalized with their elementary properties to (L,M)-fuzzy topological spaces setting based on graded concepts. Moreover, a systematicdiscussion of their relationship with the degree of F-compactness, Fconnectedness,FT1, and FT2 is carried out.Mon, 11 Feb 2019 20:30:00 +0100(1801-4208) A COMPREHENSIVE EXPERIMENTAL COMPARISON OF THE AGGREGATION TECHNIQUES FOR FACE ...
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In face recognition, one of the most important problems to tackleis a large amount of data and the redundancy of information contained in facialimages. There are numerous approaches attempting to reduce this redundancy.One of them is information aggregation based on the results of classifiers builton selected facial areas being the most salient regions from the point of viewof classification both by humans and computers. In this study, we report ona series of experiments and offer a comprehensive comparison between variousmethods of aggregation of outputs of these classifiers based on essential facialfeatures such as eyebrows, eyes, nose, and mouth areas. For each of them, wecarry the recognition process utilizing the well-known Fisherfaces transforma-tion. During the comparisons of the vectors representing the features of images(faces) after the transformations, we consider 16 similarity=dissimilarity mea-sures for which we select the best aggregation operator. The set of operatorsto compare was selected on a basis of the comprehensive literature reviewregarding aggregation functions.Mon, 11 Feb 2019 20:30:00 +0100(1702-3490) 2-TUPLE INTUITIONISTIC LINGUISTIC AGGREGATION OPERATORS IN MULTIPLE ATTRIBUTE ...
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In this paper, we investigate the multiple attribute decision making (MADM) problems with 2-tuple intuitionistic linguistic information. Then, we utilize arithmetic and geometric operations to develop some 2-tuple intuitionistic linguistic aggregation operators. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the 2-tuple intuitionistic linguistic MADM problems. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.Fri, 15 Feb 2019 20:30:00 +0100(1711-4068) A RESEARCH ON CLASSIFICATION PERFORMANCE OF FUZZY CLASSIFIERS BASED ON FUZZY SET THEORY
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Due to the complexities of objects and the vagueness of the human mind, it hasattracted considerable attention from researchers studying fuzzy classification algorithms.In this paper, we propose a concept of fuzzy relative entropy to measure the divergencebetween two fuzzy sets. Applying fuzzy relative entropy, we prove the conclusion thatpatterns with high fuzziness are close to the classification boundary. Thus, it plays a greatrole in classification problems that patterns with high fuzziness are classified correctly.Meanwhile, we draw a conclusion that the fuzziness of a pattern and the uncertainty of itsclass label are equivalent. As is well known, entropy not only measures the uncertaintyof random variable, but also represents the amount of information carried by the variable.Hence, a fuzzy classifier with high fuzziness would carry much information about trainingset. Therefore, in addition to some assessment criteria such as classification accuracy, wecould study the classification performance from the perspective of the fuzziness of clas-sifier. In order to try to ensure the objectivity in dealing with unseen patterns, we shouldmake full use of information of the known pattern set and do not make too much subjectiveassumptions in the process of learning. Consequently, for problems with rather complexdecision boundaries especially, under the condition that a certain training accuracy thresh-old is maintained, we demonstrate that a fuzzy classifier with high fuzziness would have awell generalization performance.Fri, 15 Feb 2019 20:30:00 +0100(1801-4185) HORIZONTAL REPRESENTATION OF A HESITANT FUZZY SET AND ITS APPLICATION TO MULTIPLE ...
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The main aim of this paper is to present a novel method for rank-ing hesitant fuzzy sets (HFSs) based on transforming HFSs into fuzzy sets(FSs). The idea behind the method is an interesting HFS decomposition whichis referred here to as the horizontal representation in the current study. Toshow the validity of the proposed ranking method, we apply it to solve a multi-attribute decision-making problem under hesitant fuzzy environment. Inter-estingly, the results show that the proposed method gives the most acceptedprecedence of alternatives in comparison with the other existing methods.Sat, 16 Feb 2019 20:30:00 +0100(1803-4326) 0A NOTE ON \DECISION MAKING IN MEDICAL INVESTIGATIONS USING NEW DIVERGENCE MEASURES ...
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Srivastava and Maheshwari (Iranian Journal of Fuzzy Systems13(1) (2016) 25-44) introduced a new divergence measure for intuitionisticfuzzy sets (IFSs). The properties of the proposed divergence measure werestudied and the e±ciency of the proposed divergence measure in the contextof medical diagnosis was also demonstrated. In this note, we point out someerrors in the proving process of two properties of the proposed divergencemeasure. Then we give a modification of the proving process.Sat, 16 Feb 2019 20:30:00 +0100(1706-3727) SYSTEMATIC LITERATURE REVIEW OF FUZZY LOGIC BASED TEXT SUMMARIZATION
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`Information Overload'is not a new term but with the massive developmentin technology which enables anytime, anywhere, easy and unlimitedaccess; participation & publishing of information has consequently escalatedits impact. Assisting users`informational searches with reduced reading surfingtime by extracting and evaluating accurate, authentic & relevant informationare the primary concerns in the present milieu. Automatic text summarizationis the process of condensing an original document into shorter form tocreate smaller, compact version from the abundant information that is available,preserving the content & meaning such that it meets the needs of theuser. Though many summarization techniques have been proposed but thereare no `silver bullets'to achieve the superlative results as of human generatedsummaries. Thus, the domain of text summarization is an active and dynamicfield of study, practice & research with the continuous need to expound noveltechniques for achieving comparable & effectual results. Fuzzy logic has appearedas a powerful theoretical framework for studying human reasoning andits application has been explored within the domain of text summarizationin the past few years. This paper is a systematic literature review to gather,analyze, and report the trends, gaps and prospects of using fuzzy logic forautomatic text summarization on the basis of the findings in original studies.Sat, 23 Feb 2019 20:30:00 +0100(1801-4191) THE KKT OPTIMALITY CONDITIONS FOR CONSTRAINED PROGRAMMING PROBLEM WITH GENERALIZED ...
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The aim of present paper is to study a constrained programmingwith generalized α-univex fuzzy mappings. In this paper we introduce theconcepts of α-univex, α-preunivex, pseudo α-univex and α-unicave fuzzymappings, and we discover that α-univex fuzzy mappings are more generalthan univex fuzzy mappings. Then, we discuss the relationships of generalizedα-univex fuzzy mappings and get some properties. In the last, we derivenecessary and sufficient Karush-Kuhn-Tucker conditions and its dual problemswith generalized differentiable α-univex fuzzy mappings for fuzzy constrainedprogramming problem.Fri, 05 Apr 2019 19:30:00 +0100(1804-4374) FUZZY ADAPTIVE TRACKING CONTROL FOR A CLASS OF NONLINEARLY PARAMETERIZED SYSTEMS ...
http://ijfs.usb.ac.ir/article_4554_0.html
This paper addresses the problem of adaptive fuzzy tracking controlfor a class of nonlinearly parameterized systems with unknown controldirections. In this paper, the nonlinearly parameterized functions are lumpedinto the unknown continuous functions which can be approximated by usingthe fuzzy logic systems (FLS) in Mamdani type. Then, the Nussbaum-typefunction is used to detect the unknown control direction and based on thebackstepping technique, the adaptive fuzzy controller is designed. The mainadvantages of this paper are that (1) in the existing results the separationprinciple is used to deal with the nonlinearly parameterized functions, unlikethem in this paper, the FLS are applied to approximate the nonlinearly parameterizedfunctions, (2) by using the minimal learning parameters (MLP)algorithm, only one parameter needs to be adjusted online in the controllerdesign procedure, which reduces the online computation burden greatly, (3)the Nussbaum-gain technique is introduced to resolve the unknown controldirection problems. It is proven that the proposed control scheme rendersthe closed-loop system stable in the sense of semiglobal uniformly ultimatelybounded (UUB). Finally, simulation results are provided to show the effectivenessof the proposed approach.Fri, 05 Apr 2019 19:30:00 +0100(1710-4026) MONOIDAL CLOSEDNESS OF L-GENERALIZED CONVERGENCE SPACES
http://ijfs.usb.ac.ir/article_4555_0.html
In this paper, it is shown that the category of stratified L-generalizedconvergence spaces is monoidal closed if the underlying truth-value table L isa complete residuated lattice. In particular, if the underlying truth-value tableL is a complete Heyting Algebra, the Cartesian closedness of the category isrecaptured by our result.Mon, 08 Apr 2019 19:30:00 +0100(1709-3931) COMPLEX FUZZY Hv-SUBGROUPS OF AN Hv-GROUP
http://ijfs.usb.ac.ir/article_4556_0.html
The concept of complex fuzzy sets is a generalization of ordinaryfuzzy sets. In this paper, we introduce the concept of complex fuzzy subhy-pergroups (Hv-subgroups) as well as the concept of complex anti-fuzzy subhy-pergroups (Hv-subgroups). We investigate their properties and their relationswith the traditional fuzzy (anti-fuzzy) subhypergroups (Hv-subgroups), andwe prove some results in this respect.Mon, 08 Apr 2019 19:30:00 +0100(1803-4364)0ROUGH APPROXIMATION OPERATORS BASED ON QUANTALE-VALUED FUZZY GENERALIZED ...
http://ijfs.usb.ac.ir/article_4557_0.html
Let L be an integral and commutative quantale. In this paper,by fuzzifying the notion of generalized neighborhood systems, the notion of L-fuzzy generalized neighborhood system is introduced and then a pair of lowerand upper approximation operators based on it are dened and discussed. It isproved that these approximation operators include generalized neighborhoodsystem-based approximation operators, L-fuzzy relation-based approximationoperators and L-fuzzy covering-based approximation operators as their specialcircumstances. Therefore, the research on L-fuzzy generalized neighborhoodsystem-based approximation operators has more general significance. In ad-dition, when the L-fuzzy generalized neighborhood system is serial, reflexive,unary and transitive, then the corresponding approximation operators are dis-cussed and characterized, respectively.Mon, 08 Apr 2019 19:30:00 +0100(1803-4353) WEAK HYPER SEMI-QUANTALES AND WEAK HYPERVALUED TOPOLOGICAL SPACES
http://ijfs.usb.ac.ir/article_4558_0.html
The purpose of this paper is to construct a weak hyper semiquantaleas a generalization of the concept of semi-quantale and used it as anappropriate hyperlattice-theoretic basis to formulate new lattice-valued topologicaltheories. Based on such weak hyper semi-quantale, we aim to constructthe notion of a weak hypervalued-topology as a generalized form of the socalledlattice-valued topology (or many-valued topology). Some properties ofweak hyper semi-quantales and weak hypervalued-topologies will be studied.An adjunction between the category of weak hyper semi-quantales and thecategory of weak hypervalued quasi-topological spaces will be established.Mon, 08 Apr 2019 19:30:00 +0100(1712-4137) AN EPQ MODEL FOR AN IMPERFECT PRODUCTION PROCESS WITH FUZZY CYCLE TIME AND QUALITY ...
http://ijfs.usb.ac.ir/article_4561_0.html
This study has developed a production inventory model where thecycle time is fuzzy, the existence of defective products is assumed in each batchand product screening is performed both in-production and after-production.Triangular fuzzy numbers serve to model uncertainties in the cycle time, and afuzzified total inventory prot function is created by the defuzzification methodknown as the signed distance method. The classical approach is used to determinethe optimal policy, with the ideal cycle time matched to the totalprot. Although assuming asymmetric triangular fuzzy numbers prevents thecalculation of a clear analytical solution, the method approaches as closely aspossible to an analytical solution. A numerical solution to only one equationis needed to obtain the optimal conguration. Conversely, there is a positivetrade-off, with an analytical solution to the optimization problem if there is anassumption of symmetrical triangular fuzzy numbers. The proposed model isillustrated by a numerical example. The paper presents results and sensitivityanalyses, in both tables and graphic illustrations. The effects on total profitare discussed in relation to various parameters. From the numerical studies,it is observed that the level of fuzziness influences the cycle time and an approximatelylinear relationship, in the opposite direction, was found betweenthe total profit and the level of fuzziness, when it was increased.Mon, 08 Apr 2019 19:30:00 +0100(1807-4619) EQUALITY PROPOSITIONAL LOGIC AND ITS EXTENSIONS
http://ijfs.usb.ac.ir/article_4562_0.html
We introduce a new formal logic, called equality propositionallogic. It has two basic connectives, ^ (conjunction) and ≡ (equivalence).Moreover, the → (implication) connective can be derived as A → B := (A ^B) ≡ A. We formulate the equality propositional logic and demonstrate thatthe resulting logic has reasonable properties such as Modus Ponens(MP) rule,Hypothetical Syllogism(HS) rule and completeness, etc. Especially, we providetwo ways to prove the completeness of this logic system. We also introduce twoextensions of equality propositional logic. The first one is involutive equalitypropositional logic, which is equality propositional logic with double negation.The second one adds prelinearity which is rich enough to enjoy the strongcompleteness property. Finally, we introduce additional connective Δ(delta)in equality propositional logic and demonstrate that the resulting logic holdssoundness and completeness.Mon, 08 Apr 2019 19:30:00 +0100(1711-4091) Multidimensional fuzzy finite tree automata
http://ijfs.usb.ac.ir/article_4566_0.html
This paper introduces the notion of multidimensional fuzzy finite tree automata (MFFTA) and investigates its closureproperties from the area of automata and language theory. MFFTA are a superclass of fuzzy tree automata whosebehavior is generalized to adapt to multidimensional fuzzy sets. An MFFTA recognizes a multidimensional fuzzy treelanguage which is a regular tree language so that for each dimension, a fuzzy membership grade is assigned to each tree.We study MFFTA by extending some classical problems and properties of automata and regular languages such asdeterminization, reduction, duality and operations on languages. Furthermore, we provided the method of convertingevery complete fuzzy tree automata to an MFFTA as well as an example to show the efficiency of MFFTA in comparisonto FFTA.Fri, 12 Apr 2019 19:30:00 +0100(1805-4476) Convex structures via convex L-subgroups of an L-ordered group
http://ijfs.usb.ac.ir/article_4567_0.html
In this paper, we first characterize the convex L-subgroup of an L-ordered group by means of four kinds of cut setsof an L-subset. Then we consider the homomorphic preimages and the product of convex L-subgroups. After that,we introduce an L-convex structure constructed by convex L-subgroups. Furthermore, the notion of the degree towhich an L-subset of an L-ordered group is a convex L-subgroup is proposed and characterized. An L-fuzzy convexstructure results from convex L-subgroup degree is imported naturally, and its L-fuzzy convexity preserving mappingsis investigated.Fri, 12 Apr 2019 19:30:00 +0100(1807-4621) Super- and sub-additive transformations of aggregation functions from the point of ...
http://ijfs.usb.ac.ir/article_4568_0.html
The way super- and sub-additive transformations of aggregation functions are introduced involve suprema and infimataken over simplexes whose dimensions may grow arbitrarily. Exact values of such transformations may thus be hardto determine in general. In this note we discuss methods of algorithmic approximation of such transformations.Fri, 12 Apr 2019 19:30:00 +0100(1806-4545) Regularity in residuated lattices
http://ijfs.usb.ac.ir/article_4569_0.html
In this paper, we study residuated lattices in order to give new characterizations for dense, regular andBoolean elements in residuated lattices and investigate special residuated lattices in order to obtain newcharacterizations for the directly indecomposable subvariety of Stonean residuated lattices. Free algebra invarieties of Stonean residuated lattices is constructed. We introduce in residuated lattice a new type of filtercalled special filter and investigate its properties. Finally, regular filter property in residuated lattices isintroduced and is studied in details.Fri, 12 Apr 2019 19:30:00 +0100(1806-4519) Negations and aggregation operators based on a new hesitant fuzzy partial ordering
http://ijfs.usb.ac.ir/article_4570_0.html
Based on a new hesitant fuzzy partial ordering proposed by Garmendia et al. [7], in this paper a fuzzy disjunction Don the set H of finite and nonempty subsets of the unit interval and a t-conorm S on the set ¯B of equivalence class onthe set of finite bags of unit interval based on this partial ordering are introduced respectively. Then, hesitant fuzzynegations Nn on H and μn on¯B are proposed. Particularly, their De Morgan's laws are investigated with respect to binary operations C and D on H, as well as T and S on ¯B respectively, where C is a commutative fuzzy conjunction on (H,≤H) and T is a t-norm on (¯B,≤B). Finally, the new hesitant fuzzy aggregation operators are presented on H and B and their more general forms are given. Moreover, the validity of the aggregation operations is illustrated by a numerical example on decision making.Fri, 12 Apr 2019 19:30:00 +0100(1809-4735) New distance and similarity measures for hesitant fuzzy soft sets
http://ijfs.usb.ac.ir/article_4571_0.html
The hesitant fuzzy soft set (HFSS), as a combination of hesitant fuzzy and soft sets, is regarded as a useful tool fordealing with the uncertainty and ambiguity of real-world problems. In HFSSs, each element is defined in terms ofseveral parameters with arbitrary membership degrees. In addition, distance and similarity measures are consideredas the important tools in different areas such as pattern recognition, clustering, medical diagnosis, and the like. Forthis purpose, the present study aimed to evaluate the distance and similarity measures for HFSSs by using well-knownHamming, Euclidean, and Minkowski distance measures. Further, some examples were used to demonstrate that thesemeasures fail to perform well in some applications. Accordingly, new distance and similarity measures were proposed byconsidering a hesitance index for HFSSs and the effect of considering hesitance index was shown by using an exampleof pattern recognition. Finally, the application of the proposed measures and hesitance index was investigated in theclustering and decision-making problem, respectively. In conclusion, the use of the proposed measures in clustering andhesitance index in decision-making can provide better and more reasonable results.Fri, 12 Apr 2019 19:30:00 +0100(1809-4722) Completeness of Hutton [0; 1]-quasi-uniformities induced by a crisp uniformity
http://ijfs.usb.ac.ir/article_4572_0.html
In [25], Katsaras introduced a method for constructing a Hutton [0, 1]-quasi-uniformity from a crisp uniformity. In thispaper we present other different methods for making this based mainly in the concept of a fuzzy uniform structure.Furthermore, we prove that some of these methods preserve the completeness property of the quasi-uniformity. Moreover,we also show that Katsaras’ construction allows to develop a theory of completion of a Hutton [0,1]-quasi-uniformspace obtained from a uniform space.Fri, 12 Apr 2019 19:30:00 +0100(1808-4647) On orders induced by implications
http://ijfs.usb.ac.ir/article_4573_0.html
In this paper, the orders induced by the residual implications obtained from uninorms are investigated. A necessaryand sufficient condition is presented so that the ordinal sum of fuzzy implications satisfies the law of importation witha t-norm T. Some relationships between the orders induced by an ordinal sum implication and its summands aredetermined. The algebraic structures obtained from the orders induced by the residual implications and the ordinalsum implications are discussed.Fri, 12 Apr 2019 19:30:00 +0100(1804-4407) A new view on fuzzy automata normed linear structure spaces
http://ijfs.usb.ac.ir/article_4574_0.html
In this paper, the concept of fuzzy automata normed linear structure spaces is introduced and suitable examples areprovided. The concepts of fuzzy automata α-open sphere, fuzzy automata N -locally compact spaces, fuzzy automataN -Hausdorff spaces are also discussed. Some properties related with fuzzy automata normed linear structure spacesand fuzzy automata N -Hausdorff spaces are discussed.Fri, 12 Apr 2019 19:30:00 +0100(1805-4498) A robust aggregation operators for multi-criteria decision-making method with ...
http://ijfs.usb.ac.ir/article_4575_0.html
Molodtsov initiated soft set theory that provided a general mathematical framework for handling with uncertainties inwhich we encounter the data by affix parameterized factor during the information analysis as differentiated to fuzzy aswell as bipolar fuzzy set theory. The main object of this paper is to lay a foundation for providing a new application ofbipolar fuzzy soft tool in considering many problems that contain uncertainties. In present study, aggregation of bipolarfuzzy soft numbers have so far not yet been applied for ranking of alternatives in decision-making problems. To thispropose, bipolar fuzzy soft weighted arithmetic averaging (BFSWAA) operator, bipolar fuzzy soft weighted geometricaveraging (BFSWGA) operator have been used to compare two bipolar fuzzy soft numbers (BFSNs) for aggregatingdifferent bipolar fuzzy soft input arguments in bipolar fuzzy soft environment. Then, their related properties have beeninvestigated. Finally, a practical example for selection of alternatives is given to demonstrate the utility and applicationof the proposed work.Fri, 12 Apr 2019 19:30:00 +0100(1704-3630) MULTI-GRANULATION FUZZY PROBABILISTIC ROUGH SETS AND THEIR CORRESPONDING THREE-WAY ...
http://ijfs.usb.ac.ir/article_4580_0.html
This article introduces a general framework of multi-granulationfuzzy probabilistic rough sets (MG-FPRSs) models in multi-granulation fuzzyprobabilistic approximation space over two universes. Four types of MG-FPRSs are established, by the four different conditional probabilities of fuzzyevent. For different constraints on parameters, we obtain four kinds of eachtype MG-FPRSs over two universes. To find a suitable way of explainingand determining these parameters in each kind of each type MG-FPRS, three-way decisions (3WDs) are studied based on Bayesian minimum-risk procedure,i.e., the decision-theoretic rough set (DTRS) approach. The main contribu-tion of this paper is twofold. One is to extend the fuzzy probabilistic roughset (FPRS) to MG-FPRS model over two universes. Another is to present anapproach to select parameters in MG-FPRS modeling by using the process ofdecision-making under conditions of risk.Sat, 13 Apr 2019 19:30:00 +0100(1811-4864) Neuro-fuzzy Control of Bilateral Teleoperation System Using FPGA
http://ijfs.usb.ac.ir/article_4590_0.html
This paper presents an adaptive neuro-fuzzy controller ANFIS (Adaptive neuro-fuzzy inference system) for a bilateralteleoperation system based on FPGA (Field Programmable Gate Array). The proposed controller combines the learningcapabilities of neural networks with the inference capabilities of fuzzy logic, to adapt with dynamic variations in masterand slave robots and to guarantee good practical robustness against the disturbances, by adjusting neuro-fuzzy networkoutput parameters in a short time, thanks to the computing power of FPGA and its high sampling frequency. Thedesign methodology adopted to design the control algorithm aims to minimize the hardware resources used by the FPGAin order to optimize the execution and design times, and this by using the Fixed-Point Tool and HDL Coder featuresof MATLAB-Simulink. The proposed controllers were experimentally validated on a teleoperation system comprisinga pair of one degree of freedom. The experimental results clearly show that the proposed ANFIS control algorithmsignificantly outperformed the conventional control methods (PID).Mon, 15 Apr 2019 19:30:00 +0100(1808-4651) The role of states in triangle algebras
http://ijfs.usb.ac.ir/article_4593_0.html
In this paper, we enlarge the language of triangle algebra by adding a unary operation that describes properties of astate. These structure algebras are called state triangle algebra. The vital properties of these algebras are given. Thenotion of state interval-valued residuated lattice (IVRL)-filters are introduced and give some examples and propertiesof them. Using this concept, we define two types IVRL-extended σ-filters of a state triangle algebra.Mon, 15 Apr 2019 19:30:00 +0100(1803-4325) Some new variants of interval-valued Gronwall type inequalities on time scales
http://ijfs.usb.ac.ir/article_4602_0.html
By using an efficient partial order and concept of gH-differentiability on interval-valued functions, we investigate somenew variants of Gronwall type inequalities on time scales, which provide explicit bounds on unknown functions. Ourresults not only unify and extend some continuous inequalities, in addition to discrete case, all are new.Mon, 22 Apr 2019 19:30:00 +0100(1712-4133) SOLVING LR FUZZY LINEAR MATRIX EQUATIONâ€
http://ijfs.usb.ac.ir/article_4606_0.html
In this paper, the fuzzy matrix equation A ˜XB = ˜C in which A;B are n×n crisp matricesrespectively and ˜C is an n × n arbitrary LR fuzzy numbers matrix, is investigated. A new numericalprocedure for calculating the fuzzy solution is designed and a sufficient condition for the existence ofstrong fuzzy solution is derived. Some examples are given to illustrate the proposed method.Sun, 28 Apr 2019 19:30:00 +0100(1609-3173) Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system
http://ijfs.usb.ac.ir/article_4655_0.html
This paper presents a robust Fault Tolerant Tracking Control (FTTC) design for nonlinear uncertain systems describedby Takagi Sugeno (T-S) fuzzy models with unmeasurable premise variables subject to sensor faults. A ProportionalIntegral Observer (PIO) is proposed to estimate the faulty states and the time-varying sensor faults. The FTTC issynthesized based on the estimation derived from the PIO with a guaranteed H∞ performance to minimize the effect ofthe external disturbance. The trajectory tracking performances and the stability of the closed loop system are analyzedbased on the Lyapunov theory and the L2 optimization. The stability condition are formulated in terms of LinearMatrix Inequality (LMI). The proposed robust FTTC is illustrated using simulation results.Tue, 14 May 2019 19:30:00 +0100(1702-3514 ) A new method for fuzzification of nested dummy variables by fuzzy clustering ...
http://ijfs.usb.ac.ir/article_4656_0.html
In this study, the aim is to propose a new method for fuzzification of nested dummy variables. The fuzzification idea ofdummy variables has been acquired from non-linear part of regime switching models in econometrics. In these models,the concept of transfer functions is like the notion of fuzzy membership functions, but no principle or linguistic sentencehave been used for inputs. Consequently, for the non-linear part including transfer function, there is no reason why thedifferent types of functions such as logistic are used. Therefore, in order to solve the aforementioned problem like theregime switching models, the transfer functions are considered for dummy variables. However, the presented transferfunctions are proposed by fuzzy clustering membership function. Finally, using fuzzy logic, the membership functionsof clusters are combined with each other and constitute the fuzzy nested regimes. The suggested model has been usedin financial data of Iran’s stock in order to examine the equity premium Puzzle. The results of using above modelhelped in modeling appropriate second-order moments in consumption capital asset pricing model.Tue, 14 May 2019 19:30:00 +0100(1805-4474)A new framework for high-technology project evaluation and project portfolio ...
http://ijfs.usb.ac.ir/article_4657_0.html
High-technology projects are known as tools that help achieving productive forces through scientific and technologicalknowledge. These knowledge-based projects are associated with high levels of risks and returns. The process of hightechnologyproject and project portfolio selection has technical complexities and uncertainties. This paper presentsa novel two-parted method of high-technology project portfolio selection. In the rst part, a new decision-makingmodel under Pythagorean fuzzy set (PFS) uncertainty is introduced that is last aggregation and avoids defuzzificationuntil the last step of the process. In the last step, a new PFS ranking method is used to make crisp and comparablevalues. Outcomes from this part form the objective function of a new integer programming (IP) of the project portfolioselection. To display the models application, data from a real case study of high-technology project evaluation andselection is presented, and the steps of the approach are illustrated in addition to presenting the efficacy of the model.Fri, 17 May 2019 19:30:00 +0100(1708-3855) Two-level supply chain for a deteriorating item with stock and promotional cost ...
http://ijfs.usb.ac.ir/article_4658_0.html
In this research work, a wholesaler-retailer-customer supply chain model for a deteriorating item is considered, wherethe retailer's warehouse in the market place has a limited capacity. The retailer can rent an additional warehouse(rented warehouse) if needed, with a higher rent compared to the existing warehouse (own warehouse). The customers'demand of the item is linearly in uenced by the stock level and in case of shortages the base demand is partiallybacklogged. Being the leader of the supply chain, the retailer introduces some promotional cost to boost the basedemand of the item. To participate in joint marketing decision, the wholesaler shares a compromise part of thispromotional cost. Goal of this research work is to maximize the individual profits (when the retailer is the leader andthe wholesaler is the follower) as well as the channel profit (when the retailer and the wholesaler jointly make marketingdecision) of the system. It is established that if the wholesaler shares a part of the promotional cost then the channelprofit as well as the individual prots increase. The supply chain model is also considered in imprecise environmentwhere different inventory parameters are fuzzy/rough in nature. In this case, the individual profits as well as thechannel prot become fuzzy/rough in nature. As optimization of fuzzy/rough objective is not well defined, followingcredibility/trust measure of fuzzy/rough event, an approach is followed for comparison of fuzzy/rough objectives and aParticle Swarm Optimization algorithm is implemented to nd the marketing decisions. Eciency of the algorithm insolving the problem is statistically established. The existence of the joint marketing decision is established analyticallyand numerically (with illustration) in crisp as well as in imprecise environments.Fri, 17 May 2019 19:30:00 +0100(1808-4631) Type-2 fuzzy logic based pitch angle controller for fixed speed wind energy system
http://ijfs.usb.ac.ir/article_4659_0.html
In this paper, an interval Type-2 fuzzy logic based pitch angle controller is proposed for fixed speed wind energy system (WES) to maintain the aerodynamic power at its rated value. The pitch angle reference is generated by the proposed controller which can compensate the non-linear characteristics of the pitch angle to the wind speed. The presence of third dimension in the Type-2 fuzzy logic controller (FLC) membership function offers an additional degree-of-freedom in the design of the Type-2 FLC controller to improve the system performance. The applicability of the proposed controller is evaluated by considering a nonlinear simulation model of the WES which is developed and implemented using OPAL-RT real time digital simulator. The results show that the proposed controller offers better performance than the conventional PI and fuzzy logic controllers.Fri, 17 May 2019 19:30:00 +0100(1806-4554) Adaptive particularly tunable fuzzy particle swarm optimization algorithm
http://ijfs.usb.ac.ir/article_4660_0.html
Particle Swarm Optimization (PSO) is a metaheuristic optimization algorithm that owes much of its allure to its simplicity and its high effectiveness in solving sophisticated optimization problems. However, since the performance of the standard PSO is prone to being trapped in local extrema, abundant variants of PSO have been proposed by far. For instance, Fuzzy Adaptive PSO (FAPSO) algorithms have been being studied extensively in recent years. In this study, a modified version of PSO algorithms is presented and is named as Adaptive Particularly Tunable Fuzzy Particle Swarm Optimization (APT-FPSO). In it, the global and personal learning coefficients of every single particle are tuned adaptively and particularly, at an individual extent, within each iteration with the aid of fuzzy logic concepts. Ample statistical evidence is provided indicating that the proposed algorithm further improves the potentialities and capabilities of the standard PSO.}Fri, 17 May 2019 19:30:00 +0100(1806-4512) A computational method to analyze the similarity of biological sequences under ...
http://ijfs.usb.ac.ir/article_4661_0.html
In this paper, we propose a new method to analyze the difference and similarity of biological sequences, based on the fuzzy set theory. Considering the sequence order and some chemical and structural properties, we present a computational method to cluster the biological sequences. By some examples, we show that the new method is relatively easy and we are able to compare the sequences of arbitrary lengths.Fri, 17 May 2019 19:30:00 +0100(1704-3632) Robustified distance based fuzzy membership function for support vector machine ...
http://ijfs.usb.ac.ir/article_4662_0.html
Fuzzification of support vector machine has been utilized to deal with outlier and noise problem. This importanceis achieved, by the means of fuzzy membership function, which is generally built based on the distance of the pointsto the class centroid. The focus of this research is twofold. Firstly, by taking the advantage of robust statisticsin the fuzzy SVM, more emphasis on reducing the impact of outliers on the generalizability of SVM has been placed.Moreover, the variety of membership function for the elliptical data has been designated, based on the classic and robustMahalanobis distance. Minimum covariance determinant and orthogonalised Gnanadesikan Kettenring estimators areemployed in the structure of the robust–fuzzy SVM. By implementing the new membership function, the disadvantagesof the traditional fuzzy membership function has been rectified. Simulated and real benchmarking data set confirm theeffectiveness of the proposed methods. Compared with the traditional SVM and fuzzy SVM, these methods give a betterperformance on reducing the effects of outliers and significantly improves the classification accuracy and generalization.Sun, 19 May 2019 19:30:00 +0100