University of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160301Cover vol. 13, no. 1, February 20160263110.22111/ijfs.2016.2631ENJournal Article20161001http://ijfs.usb.ac.ir/article_2631_dc98dadae6fef4885991297e38de7d91.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Arithmetic Aggregation Operators for Interval-valued Intuitionistic Linguistic Variables and Application to Multi-attribute Group Decision Making123228410.22111/ijfs.2016.2284ENJiuyingDongSchool of Statistics, Jiangxi University of Finance and Economics,
Nanchang 330013, China and Research Center of Applied Statistics, Jiangxi University
of Finance and Economics, Nanchang 330013, ChinaShu-PingWanCollege of Information Technology, Jiangxi University of Finance
and Economics, Nanchang 330013, ChinaJournal Article20140607The intuitionistic linguistic set (ILS) is an extension of linguisitc variable. To overcome the drawback of using single real number to represent membership degree and non-membership degree for ILS, the concept of interval-valued intuitionistic linguistic set (IVILS) is introduced through representing the membership degree and non-membership degree with intervals for ILS in this paper. The operation law, score function, accuracy function , and certainty function for interval-valued intuitionistic linguistic varibales (IVILVs) are defined. Hereby a lexicographic method is proposed to rank the IVILVs. Then, three kinds of interval-valued intuitionistic linguistic arithmetic average operators are defined, including the interval-valued intuitionistic linguistic weighted arithmetic average (IVILWAA) operator, interval-valued intuitionistic linguistic ordered weighted arithmetic (IVILOWA) operator, and interval-valued intuitionistic linguistic hybrid arithmetic (IVILHA) operator, and their desirable properties are also discussed. Based on the IVILWAA and IVILHA operators, two methods are proposed for solving multi-attribute group decision making problems with IVILVs. Finally, an investment selection example is illustrated to demonstrate the applicability and validity of the methods proposed in this paper.http://ijfs.usb.ac.ir/article_2284_a8c89f45da6d004df613f2dedf70b6f9.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Decision making in medical investigations using new divergence measures for intuitionistic fuzzy sets2544228510.22111/ijfs.2016.2285ENA.SrivastavaDepartment of Mathematics, Jaypee Institute of Information Tech-
nology, Noida, Uttar PradeshS.MaheshwariDepartment of Mathematics, Jaypee Institute of Information Tech-
nology, Noida, Uttar PradeshJournal Article20141107In recent times, intuitionistic fuzzy sets introduced by Atanassov has been one of the most powerful and flexible approaches for dealing with complex and uncertain situations of real world. In particular, the concept of divergence between intuitionistic fuzzy sets is important since it has applications in various areas such as image segmentation, decision making, medical diagnosis, pattern recognition and many more. The aim of this paper is to introduce a new divergence measure for Atanassov's intuitionistic fuzzy sets (textit{AIFS)}. The properties of the proposed divergence measure have been studied and the findings are applied in medical diagnosis of some diseases with a common set of symptoms.http://ijfs.usb.ac.ir/article_2285_c662f28b659682009004d67579186183.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Designing a model of intuitionistic fuzzy VIKOR in multi-attribute group decision-making problems4565228610.22111/ijfs.2016.2286ENSeyed MeysamMousaviDepartment of Industrial Engineering, Faculty of Engi-
neering, Shahed University, Tehran, IranBehnamVahdaniFaculty of Industrial and Mechanical Engineering, Qazvin Branch,
Islamic Azad University, Qazvin, IranShadan SadighBehzadiDepartment of Mathematics, Qazvin Branch, Islamic Azad
University, Qazvin, IranJournal Article20150707Multiple attributes group decision making (MAGDM) is regarded as<br /> the process of determining the best feasible solution by a group of<br /> experts or decision makers according to the attributes that represent<br /> different effects. In assessing the performance of each alternative with<br /> respect to each attribute and the relative importance of the selected attributes,<br /> quantitative/qualitative evaluations are often required to handle uncertainty,<br /> imprecise and inadequate information, which are well suited to represent with fuzzy values.<br /> This paper develops a VIKOR method based on intuitionistic fuzzy sets with multi-judges and multi-attributes in real-life situations.<br /> Intuitionistic fuzzy weighted averaging (IFWA) operator is used to aggregate individual judgments of experts to rate the importance of attributes and alternatives. Then, an intuitionistic ranking index is introduced to obtain a compromise solution to solve MAGDM problems.<br /> For application and validation, this paper presents two application examples and solves the practical portfolio selection and material handling selection problems to verify the proposed method. Finally, the intuitionistic fuzzy VIKOR method is compared with the existing intuitionistic fuzzy MAGDM method for two application examples, and their computational results are discussed.http://ijfs.usb.ac.ir/article_2286_459119c7ea81ef16c1dc2c156e716ea4.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Piecewise cubic interpolation of fuzzy data based on B-spline basis functions6776228710.22111/ijfs.2016.2287ENMasoumehZeinaliFaculty of mathematical sciences, University of Tabriz, Tabriz,
IranSedaghatShahmoradFaculty of mathematical sciences, University of Tabriz, Tabriz,
Iran0000-0002-2476-1176KamalMirniaFaculty of mathematical sciences, University of Tabriz, Tabriz, IranJournal Article20130307In this paper fuzzy piecewise cubic interpolation is constructed for fuzzy data based on B-spline basis functions. We add two new additional conditions which guarantee uniqueness of fuzzy B-spline interpolation.<br />Other conditions are imposed on the interpolation data to guarantee that the interpolation function to be a well-defined fuzzy function. Finally some examples are given to illustrate the proposed method.http://ijfs.usb.ac.ir/article_2287_4c7e790202a7257a98a74eed659ffe8c.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Further results on $L$-ordered fuzzifying convergence spaces7792228910.22111/ijfs.2016.2289ENBinPangShenzhen Graduate School, Harbin Institute of Technology, 518055 Shen-
zhen, P.R. ChinaYiZhaoShenzhen Graduate School, Harbin Institute of Technology, 518055 Shen-
zhen, P.R. ChinaJournal Article20130408In this paper, it is shown that the category of $L$-ordered fuzzifying convergence spaces contains the category of pretopological $L$-ordered fuzzifying convergence spaces as a bireflective subcategory and the latter contains the category of topological $L$-ordered fuzzifying convergence spaces as a bireflective subcategory. Also, it is proved that the category of $L$-ordered fuzzifying convergence spaces can be embedded in the category of stratified $L$-ordered convergence spaces as a coreflective subcategory.http://ijfs.usb.ac.ir/article_2289_7edf80dce877328f54e067a17901d97c.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228On The Relationships Between Types of $L$-convergence Spaces93103229010.22111/ijfs.2016.2290ENQiuJinDepartment of Mathematics, Liaocheng University, Liaocheng, P.R.ChinaLingqiangLiDepartment of Mathematics, Liaocheng University, Liaocheng, P.R.ChinaGuangwuMengDepartment of Mathematics, Liaocheng University, Liaocheng, P.R.ChinaJournal Article20140908This paper focuses on the relationships between stratified<br /> $L$-conver-gence spaces, stratified strong $L$-convergence spaces and stratified<br />levelwise $L$-convergence spaces. It has been known that: (1) a<br />stratified $L$-convergence space is precisely a left-continuous<br />stratified levelwise $L$-convergence space; and (2) a stratified<br />strong $L$-convergence space is naturally a stratified $L$-convergence space, but the converse is not true generally.<br />In this paper, a strong left-continuity condition for stratified levelwise $L$-convergence space is given. It is proved that a stratified strong $L$-convergence space is precisely a strongly left-continuous stratified<br />levelwise $L$-convergence space. Then a sufficient and necessary condition for a stratified $L$-convergence space to be a stratified strong $L$-convergence space is presented.http://ijfs.usb.ac.ir/article_2290_71de97e8ff22e4ed37bf0b947a19e70a.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Correspondence between probabilistic norms and fuzzy norms105114229110.22111/ijfs.2016.2291ENHua-PengZhangSchool of Science, Nanjing University of Posts and Telecommuni-
cations, Nanjing 210023, ChinaJournal Article20150708In this paper, the connection between Menger probabilistic norms and H"{o}hle probabilistic norms is discussed. In addition, the correspondence between probabilistic norms and Wu-Fang fuzzy (semi-) norms is established. It is shown that a probabilistic norm (with triangular norm $min$) can generate a Wu-Fang fuzzy semi-norm and conversely, a Wu-Fang fuzzy norm can generate a probabilistic norm.http://ijfs.usb.ac.ir/article_2291_c21f5bbd1e1e97f9ce8d83b9838715be.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228$L$-fuzzy approximation spaces and $L$-fuzzy topological spaces115129229210.22111/ijfs.2016.2292ENA. A.RamadanDepartment of Mathematics, Faculty of Science, Beni-Suef Univer-
sity, Beni-Suef, EgyptE. H.ElkordyDepartment of Mathematics, Faculty of Science, Beni-Suef Univer-
sity, Beni-Suef, EgyptM.El-DarderyDepartment of Mathematics, Faculty of Science, Fayoum University,
Fayoum, EgyptJournal Article20140208The $L$-fuzzy approximation operator associated with an $L$-fuzzy approximation space $(X,R)$ turns out to be a saturated $L$-fuzzy closure (interior) operator on a set $X$ precisely when the relation $R$ is reflexive and transitive. We investigate the relations between $L$-fuzzy approximation spaces and $L$-(fuzzy) topological spaces.http://ijfs.usb.ac.ir/article_2292_6313286d0ad372c6aaa06e50234658ed.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Commutative pseudo BE-algebras131144229310.22111/ijfs.2016.2293ENL. C.CiunguDepartment of Mathematics, University of Iowa, 14 MacLean Hall,
Iowa City, Iowa 52242-1419, UsaJournal Article20150208The aim of this paper is to introduce the notion of commutative pseudo BE-algebras and investigate their properties.<br />We generalize some results proved by A. Walendziak for the case of commutative BE-algebras.<br />We prove that the class of commutative pseudo BE-algebras is equivalent to the class of commutative pseudo BCK-algebras. Based on this result, all results holding for commutative pseudo BCK-algebras also hold for commutative pseudo BE-algebras. For example, any finite commutative pseudo BE-algebra is a BE-algebra, and any commutative pseudo BE-algebra is a join-semilattice. Moreover, if a commutative pseudo BE-algebra is a meet-semilattice, then it is a distributive lattice. We define the pointed pseudo-BE algebras, and introduce and study the relative negations on pointed pseudo BE-algebras. Based on the relative negations we construct two closure operators on a pseudo BE-algebra.<br />We also define relative involutive pseudo BE-algebras, we investigate their properties and prove equivalent conditions for a relative involutive pseudo BE-algebra.<br />We define the relative Glivenko property for a relative good pseudo BE-algebra and show that any relative<br />involutive pseudo BE-algebra has the relative Glivenko property.http://ijfs.usb.ac.ir/article_2293_89fc397124e86bd8d36d0f72b59437ba.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160228Semi-G-filters, Stonean filters, MTL-filters, divisible filters, BL-filters and regular filters in residuated lattices145160229410.22111/ijfs.2016.2294END.BusneagDepartment of Mathematics, Faculty of Mathematics and Natural Sci-
ences, University of Craiova, Craiova, RomaniaD.PiciuDepartment of Mathematics, Faculty of Mathematics and Natural Sciences,
University of Craiova, Craiova, RomaniaJournal Article20140808At present, the filter theory of $BL$textit{-}algebras has been widely<br />studied, and some important results have been published (see for example<br />cite{4}, cite{5}, cite{xi}, cite{6}, cite{7}). In other works such as<br />cite{BP}, cite{vii}, cite{xiii}, cite{xvi} a study of a filter theory in<br />the more general setting of residuated lattices is done, generalizing that<br />for $BL$textit{-}algebras. Note that filters are also characterized by<br />various types of fuzzy sets. Most of such characterizations is trivial but<br />some are nontrivial, for example characterizations obtained in cite{xm}.<br />Both situation have revealed a rich range of classes of filters: Boolean,<br />implicative, Heyting, positive implicative, fantastic (or MV-filter), etc.<br />In this paper we work in the general cases of residuated lattices and put in<br />evidence new types of filters in a residuated lattice (in the spirit of cite<br />{mvl}): semi-G-filterstextit{, }Stonean filters, divisible filters,<br />BL-filters and regular filters.http://ijfs.usb.ac.ir/article_2294_d8dfab9476be9a9b5c4b01faa4c2942b.pdfUniversity of Sistan and BaluchestanIranian Journal of Fuzzy Systems1735-065413120160301Persian-translation vol. 13, no. 1, February 2016162172263210.22111/ijfs.2016.2632ENJournal Article20161001http://ijfs.usb.ac.ir/article_2632_c03568e8d3443db7f6176c58d18a986b.pdf