Iranian Journal of Fuzzy SystemsIranian Journal of Fuzzy Systems
https://ijfs.usb.ac.ir/
Wed, 21 Oct 2020 22:16:18 +0100FeedCreatorIranian Journal of Fuzzy Systems
https://ijfs.usb.ac.ir/
Feed provided by Iranian Journal of Fuzzy Systems. Click to visit.cover 17-6 December 2020
https://ijfs.usb.ac.ir/article_5596_698.html
Mon, 30 Nov 2020 20:30:00 +0100Applications of generalized fixed points theorems to the existence of uncertain differential ...
https://ijfs.usb.ac.ir/article_5597_698.html
In this paper, we study the existence and uniqueness of solutions to initial value problems associated to ordinary fuzzy differential equations with finite delay in the setting of a generalized Hukuhara derivative. Our approach is based on the results of fixed points of weakly contractive mappings on partially ordered metric spaces.Mon, 30 Nov 2020 20:30:00 +0100A note on a theorem by Aldo Ghizzetti
https://ijfs.usb.ac.ir/article_5598_698.html
In this article, we explore some aspects of Fourier analysis on fuzzy sets. In particular, we give a complete characterization of the Fourier coefficients of fuzzy subsets of the unit circle. The main result hinges on a theorem by the Italian mathematician Aldo Ghizzetti. This work was part of a broader project jointly with Professor Vittorio Cafagna, who, sadly, passed away unexpectedly in 2007. His intellectual breadth and inspiring passion for mathematics still keeps shining today.Mon, 30 Nov 2020 20:30:00 +0100Copula-based measurement error models
https://ijfs.usb.ac.ir/article_5599_698.html
In this work, we study the joint distribution function as well as the copula of (X-Z,Y) where the random vector (X, Y, Z) is characterized by a copula C_{X,Y,Z}. We use this copula to analyze a measurement error model. Some theoretical results, several examples as well as a simulation study are proposed for illustration.Mon, 30 Nov 2020 20:30:00 +0100Aggregation of sequence of fuzzy measures
https://ijfs.usb.ac.ir/article_5600_698.html
In this paper we present construction of new fuzzy measures by applying extended aggregation function on a sequence of fuzzy measures. According to properties of applied aggregation function and properties of initial fuzzy measures, some properties of constructed fuzzy measure are proved. Additionally, one new extended aggregation function named extended weighted arithmetic mean of distorted arguments is introduced, and its relevant properties are proved. It is shown that this extended aggregation function, with appropriatedparameters, can be suitable for construction of new fuzzy measures. Other types of non-additive measures can be constructed in the same way, by applying aggregation function on the initial sequence of non-additive measures.Mon, 30 Nov 2020 20:30:00 +0100A combination risk-based approach to post-earthquake temporary accommodation site selection: A ...
https://ijfs.usb.ac.ir/article_5601_698.html
One of the most important problems after natural disasters in every country is the preparation of temporary accommodations for victims. The developers of preventive plans are also faced with numerous uncertainties in this crisis management topic. Furthermore, uncertainty is not defined in classical mathematical sets. Therefore, the use of intuitionistic fuzzy sets, which include considerations for uncertainty, can be useful in prospective planning in order to counteract possible risks. The main aim of this study is to propose a combined method using risk management and Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) for locating and prioritizing the post-earthquake temporary accommodation sites. To this end, the city of Sanandaj in Iran was selected as the case study of this method. First, brainstorming sessions with 9 crisis management experts from various organizations of Kurdistan province were used to determine 6 decision-making criteria. These criteria were based on identified risks in temporary accommodation process after an earthquake in the region, and criteria extracted from previous studies regarding temporary accommodation locations. The possible alternatives for temporary accommodation sites in this study were 13 different urban public spaces. The pairwise comparison of criteria based on the aim and pairwise comparison of alternative temporary accommodation options based on each criterion was carried out by experts and using intuitionistic fuzzy sets. Finally, the IF-AHP process was used to determine the priority of each alternative.Mon, 30 Nov 2020 20:30:00 +0100Generalized convex combination of implications on bounded lattices
https://ijfs.usb.ac.ir/article_5602_698.html
In this paper, the notions of the linear and g-convex combination for implications which extend the notion of convex combination of fuzzy implications on the unit interval to bounded lattices are introduced. A necessary and sufficient condition for the g-convex combination to be an implication is determined. Some basic properties of the g-convex combinations are discussed. Also, some sets which are defined by the linear (g-convex) combination of two implications on a bounded lattice are studied and the relationships between them are discussed. Moreover, the lattice theoretical structure of the mentioned sets is investigated.Mon, 30 Nov 2020 20:30:00 +0100Pythagorean interval 2-tuple linguistic VIKOR method for evaluating human factors in ...
https://ijfs.usb.ac.ir/article_5603_698.html
In a construction project, there are many factors that affect the project quality, such as people, materials, machinery, environment, etc. Among them, people have the greatest influence on the project quality, whether people participate directly or indirectly. This paper mainly evaluates human factors in the process of construction project management, such as workers’ proficiency, workers’ safety awareness, technical workers’ quality, and workers’ emergency capacity, with the purpose of helping China’s construction project to proceed smoothly. In this manuscript, a multi-attribute group decision-making (MAGDM) technique based on Pythagorean interval 2-tuple linguistic numbers (PI2TLNs) and VIKOR method is proposed to evaluate human factors in construction projects. PI2TLNs are used to represent performance assessments of decision makers. Relying on Pythagorean interval 2-tuple linguistic weighted averaging (PI2TLWA)/Pythagorean interval 2-tuple linguistic weighted geometric (PI2TLWG) operator, the evaluation information given by experts is fused into a group decision matrix. Combined with the essential VIKOR method, PI2TLN-VIKOR’ framework is established. The effectiveness of this method is verified by an example, and compared with two algorithms and PI2TLN-TODIM method.Mon, 30 Nov 2020 20:30:00 +0100Complex fuzzy ordered weighted distance measures
https://ijfs.usb.ac.ir/article_5604_698.html
In this paper, we introduce the complex fuzzy ordered weighted distance (CFOWD) measure. It is a new measure that uses the main characteristics of the the orderedweighted averaging (OWA) operator and uncertain information represented as complex fuzzy values. This measure includes a wide range of distance measuressuch as the complex fuzzy maximum distance, the complex fuzzy minimum distance, the normalized complex fuzzy distance (NCFD), the complex fuzzy ordered weighted Hamming distance (CFOWHD), complex fuzzy ordered weighted Euclidean distance (CFOWED), complex fuzzy ordered weighted geometricdistance (CFOWGD), the normalized complex fuzzy Hamming distance (NCFHD) and the normalized complex fuzzy Euclidean distance (NCFED).We study some of its main properties. Finally, based on CFOWD measures, we give an illustrative example regarding the selected problem.Mon, 30 Nov 2020 20:30:00 +0100A modified method on estimating and assessing the process yield with imprecise multiple ...
https://ijfs.usb.ac.ir/article_5605_698.html
The conventional advanced process yield index $S^{T}_{pk}$ is widely applied in industry to provide an exact measure of the overall production yield whose quality characteristics are mutually independent and multivariate normally distributed. While one can find numerous studies that consider a crisp estimation of $S^{T}_{pk}$ to evaluate and test the overall process yield, the recorded measurements of product quality characteristics are not always reported precisely. This paper presents a new fuzzy-based method to assess the overall process yield in the presence of a specified degree of ambiguity for the sample data. After finding a fuzzy estimator of $S^{T}_{pk}$ based on Buckley's approach, a new fuzzy three-decision testing rule is proposed to evaluate process performance based on critical values and fuzzy $p$-values. Subsequently, this work extends the application of the proposed method to the class of correlated characteristics by adopting the principal component analysis technique. The introduced fuzzy testing procedure includes the existing customary binary-decision testing rule as a spacial case. In addition, comparative studies are conducted to display the benefits of the proposed rule. Finally, two industrial examples are given for independent and correlated characteristics to guide the practitioners.Mon, 30 Nov 2020 20:30:00 +0100Redundancy of mset topologies
https://ijfs.usb.ac.ir/article_5606_698.html
In this note, our aim is to present the relation between msets and $L$-fuzzy sets. We prove that an mset can be viewed as an $L$-fuzzy set. An mset topology can be viewed as an L-topology. Therefore, it follows that mset topologies are redundant in theoretical sense.Mon, 30 Nov 2020 20:30:00 +0100States on implication basic algebras
https://ijfs.usb.ac.ir/article_5607_698.html
In this paper, the notions of Bosbach states and state-morphisms on implication basic algebra are introduced, along with their properties and related results. It is proved that Bosbach states coincide with Riecan states on bounded implication basic algebras. Accordingly, the relations between Bosbach states and state-morphisms are discussed. It is proved that sm is a state-morphism on IB if and only if sm is a Bosbach state and sm(x V y)=sm(x)V sm(y) . In addition, the concept of internal states on implication basic algebras is defined, and accordingly, the notions of IS-prefilters, IS-filters, and IS-congruence relations on implication basic algebras are introduced. Then, it is proved that one-to-one correspondence is available between the set of all IS-filters and IS-congruence relations on implication basic algebras.Finally, the new notion of generalized state maps from an implication basic algebra IB1 to an arbitrary implication basic algebra IB2 is defined and generalized state-morphisms and generalized internal states as two types of individual generalized state maps are introduced. This confirmed that the generalized internal states are a generalization of internal states, and the generalized state-morphisms are a generalization of state-morphisms on implication basic algebras. Finally, it is shown that a generalized internal state gs is an internal state on implication basic algebra IB if gs2=g.Mon, 30 Nov 2020 20:30:00 +0100$C^\infty$ $L$-fuzzy manifolds with $L$-gradation of openness and $C^\infty$ $LG$-fuzzy ...
https://ijfs.usb.ac.ir/article_5608_698.html
In this paper, we generalize all of the fuzzy structures which we have discussed in cite{MM} to $L$-fuzzy set theory, where $L= <L,leq,bigwedge,bigvee, '>$ denotes a complete distributive lattice with at least two elements. We define the concept of an $LG$-fuzzy topological space $(X, mathfrak{T} )$ which $X$ is itself an $L$-fuzzy subset of a crisp set M and $mathfrak{T}$ is an $L$-gradation of openness of $L$-fuzzy subsets of $M$ which are less than or equal to $ X $. Then we define $C^infty$ $L$-fuzzy manifolds with $L$-gradation of openness and $C^infty$ $LG$-fuzzy mappings of them such as $LG$-fuzzy immersions and $LG$-fuzzy imbeddings. We fuzzify the concept of the product manifolds with $L$-gradation of openness and define $LG$-fuzzy quotient manifolds when we have an equivalence relation on $M$ and investigate the conditions of the existence of the quotient manifolds. We also introduce $LG$-fuzzy immersed, imbedded and regular submanifolds.Mon, 30 Nov 2020 20:30:00 +0100Modal operators on pseudo-BE algebras
https://ijfs.usb.ac.ir/article_5610_698.html
In this paper, we define and study the modal operators on pseudo-BE algebras as special cases of closure operators on these structures.We prove that the composition of two modal operators is a modal operator if and only if they commute.For the particular case of a good pseudo-BCK algebra an equivalent definition of the modal operators is given, and the notion of a strong modal operator is introduced and studied.We also define the notions of modal deductive systems and modal homomorphisms on pseudo-BE algebras and we investigate their properties. It is proved that, if two modal operators have the same image, then they coincide.Also, given a normal modal deductive system H of a distributive modal pseudo-BE algebra $(A,f)$ we construct a modal operator on the quotient pseudo-BE algebra A/H.Mon, 30 Nov 2020 20:30:00 +0100Probabilistic model development for estimating construction labor productivity optimization ...
https://ijfs.usb.ac.ir/article_5611_698.html
Construction labour productivity is a foremost tool used for data assessing, planning, budgeting and establishment of construction project. Influence of multi variation factors results in decrease of labour productivity in construction field. Still we are dependent on traditional technique comprises with reference published data or on the experience of estimators so as to estimate the construction labour productivity. The objective of this research is to recognize and map the association between identified factors affecting the construction labour productivity and individual productive rates through a systematic engineering model. This process comprises with calculation of productivity, collection of productivity information and using that information for designing construction model. Also, it intends to build up an optimized probabilistic model for construction industry. Initially, the raw data for instance labour cost, capital cost, and energy consumption has been considered as input so as to compute objective function and total productive factor. The membership function is developed and employed in fuzzy optimization algorithm to optimize the productivity rate in construction. The results through anticipated model prove to be more effective model with reasonable generalization capabilities compared to existing traditional work. Furthermore, this paper provides an insight of probabilistic model comprising internal in addition to external variable factors such as supervision, work rules, government rules and public labour unions.Mon, 30 Nov 2020 20:30:00 +0100Persian-translation 17-6 December 2020
https://ijfs.usb.ac.ir/article_5612_698.html
Mon, 30 Nov 2020 20:30:00 +0100(2002-5687) Higher order hesitant fuzzy Choquet integral operator and its application to ...
https://ijfs.usb.ac.ir/article_5543_0.html
Generally, the criteria involved in a decision making problem are interactive or inter-dependent, and therefore aggregating them by the use of traditional operators which are based on additive measures is not logical. This verifies that we have to implement fuzzy measures for modelling the interaction phenomena among the criteria.On the other hand, based on the recent extension of hesitant fuzzy set, called higher order hesitant fuzzy set (HOHFS) which allows the membership of a given element to be defined in forms of several possible generalized typesof fuzzy set, we encourage topropose the higher order hesitant fuzzy (HOHF) Choquet integral operator. This concept not only considers the importance of the higher order hesitant fuzzy arguments, but also it can reflect the correlations among those arguments. Then,a detailed discussion on the aggregation properties of the HOHF Choquet integral operator will be presented.To enhance the application of HOHF Choquet integral operator in decision making, we first assess the appropriate energy policy for the socio-economic development. Then, the efficiency of the proposed HOHF Choquet integral operator-based technique over a number of exiting techniques is further verified by employing another decision making problem associated with the technique of TODIM (an acronym in Portuguese of Interactive and Multicriteria Decision Making).Fri, 31 Jul 2020 19:30:00 +0100(1811-4822) An advanced decision support framework to assess sustainable transport projects ...
https://ijfs.usb.ac.ir/article_5544_0.html
This paper introduces a new decision support framework for transport projects appraisal, which is based on the multi-criteria decision analysis (MCDA) and the cost-benefit analysis (CBA) to address both monetary and non-monetary characteristics of the problem at the same time. Substantial inaccuracies are present while obtaining non-monetary and monetary inputs to the MCDA and the CBA, respectively. To provide the MCDA part of the framework with uncertainty, an interval-valued Pythagorean fuzzy set (IVPFS) is used as an attractive uncertain modeling tool. Additionally, a new multi-attribute group decision-making (MAGDM) method with partially known attribute weights and unknown expert weights under the IVPFS environment is proposed to find the best sustainable transport project from the non-monetary criteria point of view. Furthermore, a novel uncertainty modeling tool, namely an interval-valued Pythagorean trapezoidal fuzzy set, is introduced to address ill-known quantities and inaccuracies that exist in the estimation of monetary impacts. Finally, this framework is used to handle a real case study of a complex decision process of finding the best transport project to fund several candidate projects. This approach has made it possible to handle the decision process from economic, social, environmental points of view at the same time. The result of this case study shows that the decision-making framework can be used as a valuable decision support tool. Moreover, it is shown that the presented framework can be applied to effectively support appraisals of transport projects.Fri, 31 Jul 2020 19:30:00 +0100(2001-5655) Fuzzy closure operators and their applications
https://ijfs.usb.ac.ir/article_5548_0.html
Fuzzy closure operators play a significant role in fuzzy order theory. This paper aims to further enrich and improve the study of fuzzy closure operators. Based on the work of Belohlavek and Yao, we shall continue to study therelative properties of fuzzy closure operators. First, we shall consider the extensions of L-subsets via fuzzy closure operators. Then we give an application of fuzzy closure operators, that is, by fuzzy closure operators we shall provethat the category CFPos of complete fuzzy posets and their fuzzy-join preserving maps is a reflective full subcategory of FPost, where FPost denotes the category of fuzzy posets and their fuzzy-existing-join preserving maps.Mon, 10 Aug 2020 19:30:00 +0100(1909-5485) The cross-migrativity equation with respect to semi-t-operators
https://ijfs.usb.ac.ir/article_5571_0.html
The cross-migrativity has been investigated for families of certain aggregation operators, such as t-norms, t-subnorms and uninorms. In this paper, we aim to study the cross-migrativity property for semi-t-operators, which are general-izations of t-operators by omitting commutativity. Specifically, we give all solutions of the cross-migrativity equation for all possible combinations of semi-t-operators. Moreover, it is shown that if a semi-t-operator F is α-cross-migrativeover another semi-t-operator G, then G must be a semi-nullnorm except one case. Finally, it is pointed out that the cross-migrativity property between two semi-t-operators is always determined by their underlying operators except afew cases.Thu, 20 Aug 2020 19:30:00 +0100(1905-5205) Stability and stabilization of network T-S fuzzy systems with random packet-loss ...
https://ijfs.usb.ac.ir/article_5613_0.html
This article deals with the problem H∞ control under network T-S fuzzy system with random packet dropouts for the synchronous machine. In the control design, the intermittent data loss existing in the closed-loop system is taken intoaccount. Two main approaches adopted in this paper to design the fuzzy controller. First, a new version of the T-S fuzzy state-feedback controller is constructed to guarantee the resulting closed-loop system to be stochastically stable.Furthermore, in this regard, by taking into account a new version of fuzzy Lyapunov-Krasovskii functional (LKF) in conjunction with free weighting matrices, containing mode-dependent non-integral term such that the resulting systemis stochastically stable with the desired performance. Second, to establish the pole place method (PPM) with the membership function. Furthermore, to make the controller design more convenient, the designed controller does notneed to share the number of fuzzy rules and membership functions with the model. Synchronous machine parameters are used for the simulation results which are provided to show the usefulness of the proposed algorithm.Tue, 01 Sep 2020 19:30:00 +0100(1909-5440) Hybrid data compression using fuzzy logic and Huffman coding in secure IOT
https://ijfs.usb.ac.ir/article_5629_0.html
Research in the area of Internet of things (IoT) and cloud computing has gained a considerable attention in today's world of information technology (IT). Data compression and security are increasingly appreciated due to their imperative roles in online data sharing and transfer in multimedia networks. Hence, image compression is focused on reducing data redundancy and saving memory and transmission bandwidth. Because of the increased entropy of coded images, it is difficult to reduce the amount of lossless information after encryption using the existing methods. Accordingly, using the hybrid Huffman coding algorithm, it is possible to guarantee the security and verification of information. Therefore, an efficient compression method is proposed that combines fuzzy logic with Huffman coding. In this method, coding is based on Hoffman code, which is statistically independent and defines fuzzy logic-based weighting functions for the frequency of the existing symbols in data to generate efficient code for compression. Fuzzy logic is then coded to provide a secure information mapping on the information codes. In this proposed system, the key information is coded using the special key of that information and the data is embedded using the data encryption key and data in the receiver are decoded using the same key. Here, different compression techniques are compared with Huffman coding. The simulation is performed under matlab2017b software. The results show that a good compression rate is achieved, there is no significant difference between the decoded and original images and compression ratio in the image is increased to over 40%.Sat, 12 Sep 2020 19:30:00 +0100(1910-5515) A new algorithm for geometric optimization with a single-term exponent constrained ...
https://ijfs.usb.ac.ir/article_5631_0.html
A geometric programming problem subject to bipolar max-product fuzzy relation equation constraints is studied in this paper. Some necessary and sufficient conditions are given for its solution existence. A lower and upper bound on the solution set of its feasible domain is obtained. Some sufficient conditions are proposed to determine some its optimal components without its resolution. A modified branch-and-bound method is extended to solve the problem. Moreover, an efficient algorithm is proposed to solve the problem based on the simplification operations and the modified branch-and-bound method. Its computational complexity is carefully analyzed. Some examples are given to show the importance of the problem and to illustrate the process of the algorithm. Finally, an analytic and comparative study is done to show the efficiency of the simplification procedures.Sat, 12 Sep 2020 19:30:00 +0100(1912-5610) Parameter estimation in fuzzy partial univariate linear regression model with ...
https://ijfs.usb.ac.ir/article_5632_0.html
This paper proposed an extension for the classical partial univariate regression model with non-fuzzy inputs and triangular fuzzy output. For this purpose, the popular non-parametric estimator and the conventional arithmetic operations of triangular fuzzy numbers were combined to construct a fuzzy univariate regression model. Then, a hybrid algorithm was developed to estimate the bandwidth and fuzzy regression coefficient. Some common goodness-of-fit criteria were also used to examine the performance of the proposed method. The effectiveness of the proposed method was then illustrated through two numerical examples including a simulation study. The proposed method was also compared with several common fuzzy linear regression models with exact inputs and fuzzy outputs. Compared to the available fuzzy linear regressions models, the numerical results clearly indicated that the proposed fuzzy regression model is capable of exhibiting more accurate performances.Sat, 12 Sep 2020 19:30:00 +0100(1901-4935) Adjusting the credit sales using CVaR-based robust possibilistic programming approach
https://ijfs.usb.ac.ir/article_5635_0.html
The purpose of this study is to develop a dairy global supply chain planning model in which operational and financial dimensions are appropriately integrated in order to adjust the credit sale strategy. In order to evaluate the financial performance of the dairy supply chain, economic value-added index and some financial ratios are used. The proposed model is compared to traditional approaches, which usually use the profit maximization as an objective function. Also, the amount of credit sales is considered as a decision variable for the first time in this research. The developed model utilized a new risk measure, i.e., the fuzzy CVaR, to cope with the uncertainty of the exchange rate and the quality and quantity of returned products. The effectiveness and efficiency of the proposed model are analyzed and assessed using the data of a real dairy supply chain. The analysis of results obtained from the developed fuzzy mathematical model shows an increase in profit and a reduction in semi-variance compared to previously developed models. Also, some numerical experiments analyses index and the impact of credit sales strategy.Sun, 13 Sep 2020 19:30:00 +0100(1901-4973) Robust output feedback adaptive sliding mode control for a class of uncertain ...
https://ijfs.usb.ac.ir/article_5636_0.html
This article presents a new robust adaptive sliding mode controller for a class of uncertain nonlinear systems whereas only the system output is measurable. Firstly, a robust adaptive fuzzy observer is designed for the system in order to estimate its state variables. The robust asymptotic convergence of the proposed observer is proven by Lyapunov direct method. Then based on the observation states, a robust adaptive sliding mode controller is suggested such that the closed loop system to be asymptotically stable. Robust asymptotic stability of the overall system suggested by the controller is also confirmed based on Lyapunov theory. Simulation results illustrate practicality and effectiveness of the proposed technique for controlling uncertain nonlinear systems.Sun, 13 Sep 2020 19:30:00 +0100(2002-5723) Uncertain network DEA models for evaluating efficiencies of Bi-echelon supply chain ...
https://ijfs.usb.ac.ir/article_5641_0.html
Nowadays, some burgeoning issues occurring in green and sustainable supply chain face an increasing number of tackles, including uncertain factors and unobserved data, which makes it even more complicated to assess supply chain efficiency. To address this issue, this paper applies uncertainty theory to two-stage network DEA intending to deal with inaccurate data. Moreover, the bi-echelon supply chain generally suffers asymmetric power among involved members. Therefore, this paper proposes attrition rate (D) and fulfillment rate (G) in the first and second stages respectively so as to reveal the bi-echelon supply chain within different leader-follower patterns. The first two models assume the upstream firm is the leader while the last two models regard the downstream firm as the leader. We find out that the results of the evaluation vary under divergent patterns accordingly by running a numerical example. Adopting proposed models can help decision-makers of the multistage supply chain make decisions more effectively and avoid possible mistakes.Mon, 14 Sep 2020 19:30:00 +0100(1908-5384) Using a fuzzy expert system as a decision support system to decrease time ...
https://ijfs.usb.ac.ir/article_5657_0.html
Always the decision of the government to the private sector faced with the challenges and high level of importance, because these decisions should be taken at the meeting of standards and functional requirements to overcome investors' interests. These decisions include education, and due to the governance nature of education and the governments' strategies in this area, the private sectors who act in it, have been affected by the consequences of different decisions. In this paper, our motivation is to propose the system to decide on how to develop applied academic educations at the Applied ScienceEducation Centers (ASEC's) which supervised by the University of Applied Science and Technology (UAST) in Iran. The method used is theFuzzy Inference System (FIS) to obtain this goal. The model performed in this study consists of a two-part FIS for two purposes straight ahead.The first concerns the quantitative development of higher applied education, including the number of Course Request (CR) for each ASEC with4 inputs and 242 rules. The latter, related to the qualitative development of higher applied education, including the assessment of the capabilityand competence of each ASEC for specific CR with the course and student admission background, specialty, committee's and council’s opinion,and frequency of course in city or province with 9 inputs, 350 rules, and an output. Each section has its inputs and rules that are determinedand used by experts in this domain. Our results show that using this method, provides some cost and time savings. This model analyzes in less than 2 minutes, while in practice it could be gain within 1650 person /hours work in different committees that all of them have their costs. Also, results are very close to reality with the advantage that there is no way to apply personal preferences, which largely meets the needs of research.Tue, 22 Sep 2020 20:30:00 +0100(1904-5166) On Goursat problem for fuzzy random partial differential equations under ...
https://ijfs.usb.ac.ir/article_5658_0.html
Fuzzy random partial differential equations (PDEs) present a connection between random dynamical systems with nonstatistical inexactness data. These blended models could be efficiently used in modeling dynamical systems working in vagueness and ambiguity environments such as fuzzy random adaptive control, fuzzy random financial prediction, fuzzy random biological modeling, etc. In this article, we study Goursat problem for fuzzy random wave equations in the framework of generalized complete metric spaces in the sense of Luxemburg. We consider equations under generalized Hukuhara differentiability. The force functions are constrained by generalized Lipschitz conditions, that makes the range of PDEs types wider than using unbounded and locally Lipschitz conditions. The existence, uniqueness and boundedness of fuzzy solutions are investigated by employing Picard successive approximation method and Luxemburg fixed point theorem. Some illustrated examples are given to demonstrate for theoretical results.Tue, 22 Sep 2020 20:30:00 +0100(1910-5520) A new comprehensive project scheduling, monitoring, and management framework based ...
https://ijfs.usb.ac.ir/article_5659_0.html
Projects require proper control and management techniques to achieve their defined success criteria. Often projects end in longer periods and higher costs than planned. It is necessary to apply approaches that can keep the project close to its predefined goals and purposes. In this paper, a new framework is presented that is mainly concerned with properly managing project implementation and evaluation. In detail, the method has four main parts. First, a new mathematical programming is offered to address project scheduling. The results of project scheduling are then applied in a critical chain method based approach under interval type-2 fuzzy uncertainty in the second part to both enhance project scheduling and address uncertainty. The third part of the approach is developed to monitor the project implementation process, and new thresholds are defined to discuss corrective measures when necessary. Finally, the fourth part of the approach is designed to evaluate project implementation and reach an understanding of how the project is implemented. To display the applicability of the approach, a practical example is solved, and the process is step by step presented along with the comparative analysis.Fri, 25 Sep 2020 20:30:00 +0100(1909-5476) On the existence of solutions to interval-valued differential equations with length ...
https://ijfs.usb.ac.ir/article_5703_0.html
In this paper, we consider the existence of solutions to first-order interval-valued differential equations with length constraints under gH-differentiability. By using the fixed point theory of compact maps on metric spaces, we provide some sufficient conditions for the existence of solutions. At the end of this paper, we show some examples to illustrate our results.Fri, 09 Oct 2020 20:30:00 +0100(1906-5296) On the stability for implicit uncertain fractional integral equations with fuzzy concept
https://ijfs.usb.ac.ir/article_5708_0.html
This paper aims to establish the existence and uniqueness results for two kinds of implicit uncertain fractional integral equations with the fuzzy concept via the fixed point theorem and successive approximation method. Besides, we also present various Ulam-Hyers stability and Ulam-Hyers-Rassias stability results of two kinds of implicit fuzzy fractional integral equations. Finally, some examples are given to illustrate our main results.Tue, 13 Oct 2020 20:30:00 +0100(1905-5233) Global dissipativity of fuzzy bidirectional associative memory neural networks with ...
https://ijfs.usb.ac.ir/article_5709_0.html
This article aimed to investigate the problem of global dissipativity of Fuzzy Bidirectional Associative Memory Neural Networks (FBAMNNs- for short) with proportional delays. Via Lyapunov Functionals (LFs- for short) and Linear Matrix Inequality (LMI- for short) approach, we obtained new sufficient conditions to guarantee the global dissipativity and global exponential dissipativity of the proposed model. In addition, two different types of activation functions are considered, including general bounded and Lipschitz-type activation functions. Moreover, the globally attractive and globally exponentially attractive sets are presented. Lastly, two numerical examples are given to illustrate the effectiveness of the developed results.Tue, 13 Oct 2020 20:30:00 +0100(2004-5834) Semi-t-operators and idempotent semi-t-operators on bounded lattices
https://ijfs.usb.ac.ir/article_5717_0.html
Recently, Fang and Hu introduced the definition of semi-t-operators on bounded lattices. In this study, we propose several construction methods to obtain such a semi-t-operator from a given semi-t-conorm and semi-t-norm on bounded lattices. Furthermore, we discuss the presence of idempotent semi-t-operators on bounded lattices, and show several different methods for construction of idempotent semi-t-operators on bounded lattices with additional constraints.Sun, 18 Oct 2020 20:30:00 +0100(1905-5244) A novel method for ranking generalized fuzzy numbers with two different heights and ...
https://ijfs.usb.ac.ir/article_5718_0.html
Due to the large use of fuzzy numbers, the ranking of these numbers is very important.In this paper, we propose a new method for ranking generalized fuzzy numbers with different left and right heights.The proposed method, at first obtains the centers of gravity of fuzzy numbers and left and right side crisp numbers; then by computing left and right areas associated with them, ranks the fuzzy numbers. The proposed method can overcome the flaws and defects of some ranking methods, and the provided examples are evidence of this. Finally this method is applied to the fuzzy risk analysis problem.Mon, 19 Oct 2020 20:30:00 +0100