The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets [PDF]
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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Intuitionistic Fuzzy Soft Rough Set and Its Application in Decision Making [PDF]
Abstract and Applied Analysis, 2014 The soft set theory, originally proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. In this paper, we present concepts of soft rough intuitionistic fuzzy sets and intuitionistic fuzzy soft rough sets, and ...
Haidong Zhang, Lan Shu, Shilong Liao
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Hesitant Fuzzy Soft Sets with Application in Multicriteria Group Decision Making Problems [PDF]
The Scientific World Journal, 2015 Soft sets have been regarded as a useful mathematical tool to deal with uncertainty. In recent years, many scholars have shown an intense interest in soft sets and extended standard soft sets to intuitionistic fuzzy soft sets, interval-valued fuzzy soft ...
Jian-qiang Wang +2 more
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On Weak and Strong Forms of Fuzzy Soft Open Sets [PDF]
Fuzzy Information and Engineering, 2016 We introduce and examined some basic properties of fuzzy soft α-open (closed) sets in fuzzy soft topological spaces. Fuzzy soft pre-open (closed) sets are also defined and discussed.
Sabir Hussain
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On Unification of Methods in Theories of Fuzzy Sets, Hesitant Fuzzy Set, Fuzzy Soft Sets and Intuitionistic Fuzzy Sets [PDF]
Mathematics, 2021 The main goal of this publication is to show that the basic constructions in the theories of fuzzy sets, fuzzy soft sets, fuzzy hesitant sets or intuitionistic fuzzy sets have a common background, based on the theory of monads in categories. It is proven
J. Močkoř, David Hýnar
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Hesitant Fuzzy Soft Set and Its Applications in Multicriteria Decision Making [PDF]
Journal of Applied Mathematics, 2014 Molodtsov’s soft set theory is a newly emerging mathematical tool to handle uncertainty. However, the classical soft sets are not appropriate to deal with imprecise and fuzzy parameters. This paper aims to extend the classical soft sets to hesitant fuzzy
Fuqiang Wang, Xihua Li, Xiaohong Chen
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A New Kind of Fuzzy n-ary Hypergroups in the Framework of Soft Set Theory [PDF]
The Scientific World Journal, 2014 Maji et al. introduced the concept of fuzzy soft sets as a generalization of the standard soft sets and presented an application of fuzzy soft sets in a decision making problem.
Hongjie Li, Yunqiang Yin
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Topological structure of fuzzy soft sets
Computers & Mathematics with Applications, 2011 AbstractIn this paper, the concept of fuzzy soft topology is introduced and some of its structural properties such as neighborhood of a fuzzy soft set, interior fuzzy soft set, fuzzy soft basis, fuzzy soft subspace topology are studied.
Bekir Tanay, M. Burc Kandemir
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Another View of Complex Intuitionistic Fuzzy Soft Sets Based on Prioritized Aggregation Operators and Their Applications to Multiattribute Decision Making [PDF]
Mathematics, 2021 In a conventional interpretation of decision-making based on ambiguity, a decision-maker must prefer the best possible opportunity including various feasible possibilities. However, the dilemma of picking the best possible alternative has continued to be
Zeeshan Ali +3 more
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The Soft Sets and Fuzzy Sets-Based Neural Networks and Application [PDF]
IEEE Access, 2020 This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and a machine learning model-SF-ANN (the soft sets and fuzzy sets based artificial neural network) is proposed. Liu et al.
Zhicai Liu +3 more
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