Results 11 to 20 of about 156,340 (282)
Fuzzy Soft Sets and Fuzzy Soft Lattices [PDF]
International Journal of Computational Intelligence Systems, 2012 The theory of soft sets was introduced by Molodtsov in 1999 in order to deal with uncertainties. In this paper, the notion of fuzzy soft lattice is defined and some related properties are derived, which extends the notion of a fuzzy lattice to include the algebraic structures of soft sets. Then the lattice structure of fuzzy soft lattices are discussed.
Yingchao Shao, Keyun Qin
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Generalised Interval‐Valued Fuzzy Soft Set [PDF]
Journal of Applied Mathematics, 2012 We introduce the concept of generalised interval‐valued fuzzy soft set and its operations and study some of their properties. We give applications of this theory in solving a decision making problem. We also introduce a similarity measure of two generalised interval‐valued fuzzy soft sets and discuss its application in a medical diagnosis problem ...
Alkhazaleh, Shawkat, Salleh, Abdul Razak
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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. (2011) introduced the notion of soft fuzzy rough sets by combining fuzzy sets, rough sets, and soft sets all together.
Zhiming Zhang
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Intertemporal Choice of Fuzzy Soft Sets [PDF]
Symmetry, 2018 This paper first merges two noteworthy aspects of choice. On the one hand, soft sets and fuzzy soft sets are popular models that have been largely applied to decision making problems, such as real estate valuation, medical diagnosis (glaucoma, prostate cancer, etc.), data mining, or international trade.
José Carlos R. Alcantud +1 more
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Generalized Fuzzy Soft Expert Set [PDF]
Journal of Applied Mathematics, 2012 In 2011 Alkhazaleh and Salleh defined the concept of soft expert sets where the user can know the opinion of all the experts in one model and give an application of this concept in decision‐making problems. Also, they introduced the concept of the fuzzy soft expert set as a combination between the soft expert set and the fuzzy set. In 2010 Majumdar and
Hazaymeh, Ayman A. +3 more
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Fuzzy Parameterized Soft Expert Set [PDF]
Abstract and Applied Analysis, 2012 In 2011 Alkhazaleh and Salleh introduced the concept of soft expert set and gave an application in a decision‐making problem. In this paper we introduce the concept of fuzzy parameterized soft expert set by giving an important degree for each element in the set of parameters.
Bashir, Maruah, Salleh, Abdul Razak
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Fuzzy soft set connected mappings
Ratio Mathematica, 2023 In this paper, the concepts of fuzzy soft connectedness between fuzzy soft sets and fuzzy soft set connected mappings in fuzzy soft topological spaces has been introduced. It is shown that a fuzzy soft topological space is fuzzy soft connected if and only if it is fuzzy soft connected between every pair of its nonempty fuzzy soft sets. Every fuzzy soft
Rajput, Alpa Singh +2 more
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Fuzzy Hypersoft Expert Set with Application in Decision Making for the Best Selection of Product [PDF]
Neutrosophic Sets and Systems, 2021 Numerous researchers have made a few models dependent on soft set, to tackle issues in decision making and clinical analysis, yet a large portion of these models manage one expert.
Muhammad Ihsan +2 more
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Some new operations on fuzzy soft sets and their applications in decision-making [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 This paper aims to introduce various types of useful operations on fuzzy soft sets (FSSs), such as Einstein sum, Einstein product, algebraic sum, algebraic product, bounded product, bounded sum, and the basic properties of these new operations have ...
Ajoy Kanti Das +2 more
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Journal of New Results in Science, 2013 – A new hybrid structure- hesitant fuzzy soft set, involving soft set is introduced. Soft set is relatively a new approach initiated by Molodtsov in 1999 to deal impreciseness and uncertainty. Hesitant fuzzy set is a generalization of fuzzy set whose membership is a subset of [0,1].
BABİTHA, K. V., JOHN, Sunil Jacob
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