2017-11-21T22:36:16Z
http://ijfs.usb.ac.ir/?_action=export&rf=summon&issue=411
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Cover vol. 14, no. 1, February 2017
2017
03
01
0
http://ijfs.usb.ac.ir/article_3088_dd2a325fd028a1ecba3efff967ef6955.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Group Generalized Interval-valued Intuitionistic Fuzzy Soft Sets and Their Applications in\ Decision Making
Hua
Wu
Xiuqin
Su
Interval-valued intuitionistic fuzzy sets (IVIFSs) are widely used to handle uncertainty and imprecision in decision making. However, in more complicated environment, it is difficult to express the uncertain information by an IVIFS with considering the decision-making preference. Hence, this paper proposes a group generalized interval-valued intuitionistic fuzzy soft set (G-GIVIFSS) which contains the basic description by interval-valued intuitionistic fuzzy soft set (IVIFSS) on the alternatives and a group of experts' evaluation of it. It contributes the following threefold: 1) A generalized interval-valued intuitionistic fuzzy soft set (GIVIFSS) is proposed by introducing an interval-valued intuitionistic fuzzy parameter, which reflects a new and senior expert's opinion on the basic description. The operations, properties and aggregation operators of GIVIFSS are discussed. 2) Based on GIVIFSS, a G-GIVIFSS is then proposed to reduce the impact of decision-making preference by introducing more parameters by a group of experts. Its important operations, properties and the weighted averaging operator are also defined. 3) A multi-attribute group decision making model based on G-GIVIFSS weighted averaging operator is built to solve the group decision making problems in the more universal IVIF environment, and two practical examples are taken to validate the efficiency and effectiveness of the proposed model.
Group decision making
Interval-valued intuitionistic fuzzy set
Generalized interval-valued intuitionistic fuzzy soft set
Soft set
2017
02
28
1
21
http://ijfs.usb.ac.ir/article_3034_c764374b831ad45afb14a759482b14ed.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Soft Computing Based on a Modified MCDM Approach under Intuitionistic Fuzzy Sets
M. R.
Shahriari
The current study set to extend a new VIKOR method as a compromise ranking approach to solve multiple criteria decision-making (MCDM) problems through intuitionistic fuzzy analysis. Using compromise method in MCDM problems contributes to the selection of an alternative as close as possible to the positive ideal solution and far away from the negative ideal solution, concurrently. Using Atanassov intuitionistic fuzzy sets (A-IFSs) may simultaneously express the degree of membership and non-membership to decision makers (DMs) to describe uncertain situations in decision-making problems. The proposed intuitionistic fuzzy VIKOR indicates the degree of satisfaction and dissatisfaction of each alternative with respect to each criterion and the relative importance of each criterion, respectively, by degrees of membership and non-membership. Thus, the ratings for the importance of criteria, DMs, and alternatives are in linguistic variables and expressed in intuitionistic fuzzy numbers. Using IFS aggregation operators and with respect to subjective judgment and objective information, the most suitable alternative is indicated among potential alternatives. Moreover, practical examples illustrate the procedure of the proposed method.
Multiple criteria decision making (MCDM)
Decision makers (DMs)
Atanassov intuitionistic fuzzy sets (A-IFSs)
Intuitionistic fuzzy numbers
2017
02
28
23
41
http://ijfs.usb.ac.ir/article_3035_56c511a22322a3f72ffb46e35bb130df.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Support vector regression with random output variable and probabilistic constraints
Maryam
Abaszade
Sohrab
Effati
Support Vector Regression (SVR) solves regression problems based on the concept of Support Vector Machine (SVM). In this paper, a new model of SVR with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. Using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadratic optimization problem. The proposedmethod is illustrated by several simulated data and real data sets for both models (linear and nonlinear) with probabilistic constraints.
Probabilistic constraints
Support Vector Machine
Support Vector Regression
Quadratic programming
Probability function
Monte Carlo simulation
2017
02
28
43
60
http://ijfs.usb.ac.ir/article_3036_7fa269af1f035bda8d625aada763cf7a.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
A Tauberian theorem for $(C,1,1)$ summable double sequences of fuzzy numbers
Ibrahim
Canak
Umit
Totur
Zerrin
Onder
In this paper, we determine necessary and sufficient Tauberian conditions under which convergence in Pringsheim's sense of a double sequence of fuzzy numbers follows from its $(C,1,1)$ summability. These conditions are satisfied if the double sequence of fuzzy numbers is slowly oscillating in different senses. We also construct some interesting double sequences of fuzzy numbers.
Fuzzy numbers
Double sequences
Slow oscillation
Summability $(C
1
1)$
Tauberian theorems
2017
02
28
61
75
http://ijfs.usb.ac.ir/article_3037_e93bbd0f6b9452e82d1a57a8403f41d7.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Some topological properties of spectrum of fuzzy submodules
R.
Ameri
R.
Mahjoob
Let $R$ be a commutative ring with identity and $M$ be an$R$-module. Let $FSpec(M)$ denotes the collection of all prime fuzzysubmodules of $M$. In this regards some basic properties of Zariskitopology on $FSpec(M)$ are investigated. In particular, we provesome equivalent conditions for irreducible subsets of thistopological space and it is shown under certain conditions$FSpec(M)$ is a $T_0-$space or Hausdorff.
Fuzzy prime submodule
Fuzzy prime spectrum
Zariski topology
Irreducible subset
2017
02
28
77
87
http://ijfs.usb.ac.ir/article_3038_cf0537ee7303573d6949705f2d57737a.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
ON LOCAL HUDETZ g-ENTROPY
M.
Rahimi
In this paper, a local approach to the concept of Hudetz $g$-entropy is presented. The introduced concept is stated in terms of Hudetz $g$-entropy. This representation is based on the concept of $g$-ergodic decomposition which is a result of the Choquet's representation Theorem for compact convex metrizable subsets of locally convex spaces.
$g$-entropy
$g$-ergodic decomposision
Hudetz correction
2017
02
28
89
97
http://ijfs.usb.ac.ir/article_3041_ca853dd5bb21099ad707b1cc56ee9624.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Probabilistic Normed Groups
Kourosh
Nourouzi
Alireza
Pourmoslemi
In this paper, we introduce the probabilistic normed groups. Among other results, we investigate the continuityof inner automorphisms of a group and the continuity of left and right shifts in probabilistic group-norm. We also study midconvex functions defined on probabilistic normed groups and give some results about locally boundedness of such functions.
Probabilistic normed groups
Invariant probabilistic metrics
Distributional-slowly varying functions
Midconvex functions
2017
02
28
99
113
http://ijfs.usb.ac.ir/article_3045_07ffef6232373ba99af3aa077fbf129e.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Implications, coimplications and left semi-uninorms on a complete lattice
Yuan
Wang
Keming
Tang
Zhudeng
Wang
In this paper, we firstly show that the $N$-dual operation of the right residual implication, which is induced by a left-conjunctive right arbitrary $vee$-distributive left semi-uninorm, is the right residual coimplication induced by its $N$-dual operation. As a dual result, the $N$-dual operation of the right residual coimplication, which is induced by a left-disjunctive right arbitrary $wedge$-distributive left semi-uninorm, is the right residual implication induced by its $N$-dual operation. Then, we demonstrate that the $N$-dual operations of the left semi-uninorms induced by an implication and a coimplication, which satisfy the neutrality principle, are the left semi-uninorms. Finally, we reveal the relationships between conjunctive right arbitrary $vee$-distributive left semi-uninorms induced by implications and disjunctive right arbitrary $wedge$-distributive left semi-uninorms induced by coimplications, where both implications and coimplications satisfy the neutrality principle.
Fuzzy connective
Implication
Coimplication
Left semi-uninorm
Neutrality principle
2017
02
28
115
130
http://ijfs.usb.ac.ir/article_3046_01bd93593faf02d51d0a59def6a543fe.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Structural properties of fuzzy graphs
Xiaonan
Li
Huangjian
Yi
Matroids are important combinatorial structures and connect close-lywith graphs. Matroids and graphs were all generalized to fuzzysetting respectively. This paper tries to study connections betweenfuzzy matroids and fuzzy graphs. For a given fuzzy graph, we firstinduce a sequence of matroids from a sequence of crisp graph, i.e.,cuts of the fuzzy graph. A fuzzy matroid, named graph fuzzy matroid,is then constructed by using the sequence of matroids. An equivalentdescription of graphic fuzzy matroids is given and their propertiesof fuzzy bases and fuzzy circuits are studied.
Fuzzy graph
Partial fuzzy subgraph
Cycle
Fuzzy matroid
2017
02
28
131
144
http://ijfs.usb.ac.ir/article_3048_b36fae2bb90f788b2a7a140802ec8baa.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
M-FUZZIFYING INTERVAL SPACES
Zhen-Yu
Xiu
Fu-Gui
Shi
In this paper, we introduce the notion of $M$-fuzzifying interval spaces, and discuss the relationship between $M$-fuzzifying interval spaces and $M$-fuzzifying convex structures.It is proved that the category {bf MYCSA2} can be embedded in the category {bf MYIS} as a reflective subcategory, where {bf MYCSA2} and {bf MYIS} denote the category of $M$-fuzzifying convex structures of $M$-fuzzifying arity $leq 2$ and the category of $M$-fuzzifying interval spaces, respectively. Under the framework of $M$-fuzzifying interval spaces, subspaces and product spaces are presented and some of their fundamental properties are obtained.
$M$-fuzzifying interval spaces
$M$-fuzzifying convex structures
$M$-fuzzifying interval preserving functions
Subspaces
Product spaces
2017
02
28
145
162
http://ijfs.usb.ac.ir/article_3050_199fd4b0125cf88df6ef7f1e2066dd5c.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
COUNTING DISTINCT FUZZY SUBGROUPS OF SOME RANK-3 ABELIAN GROUPS
Isaac K.
Appiah
B. B.
Makamba
In this paper we classify fuzzy subgroups of a rank-3 abelian group $G = mathbb{Z}_{p^n} + mathbb{Z}_p + mathbb{Z}_p$ for any fixed prime $p$ and any positive integer $n$, using a natural equivalence relation given in cite{mur:01}. We present and prove explicit polynomial formulae for the number of (i) subgroups, (ii) maximal chains of subgroups, (iii) distinct fuzzy subgroups, (iv) non-isomorphic maximal chains of subgroups and (v) classes of isomorphic fuzzy subgroups of $G$. Illustrative examples are provided.
Equivalence
Fuzzy subgroup
Maximal chain
Keychain
Distinguishing factor
Isomorphism
2017
02
28
163
181
http://ijfs.usb.ac.ir/article_3051_d9c53364056080d2ad2e5d2af478926e.pdf
Iranian Journal of Fuzzy Systems
IJFS
1735-0654
1735-0654
2017
14
1
Persian-translation vol. 14, no. 1, February 2017
2017
03
01
185
195
http://ijfs.usb.ac.ir/article_3089_96891c6b02f1f2f16c91eec6e6a77e02.pdf