Results 31 to 40 of about 380,278 (289)
Graded Soft Expert Set as a Generalization of Hesitant Fuzzy Set
Journal of Intelligent Systems, 2018 Hesitant fuzzy sets play a vital role in decision analysis. Although they have been proved to be a landmark in evaluating information, there are certain deficiencies in their structure.
Qayyum Afshan, Shaheen Tanzeela
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Vague soft hypermodules; connections with soft hypermodules and homomorphisms [PDF]
Journal of HyperstructuresIn this paper, the notion of vague soft hypermodules is introduced, which is an extension of the notions of vague soft hypergroups and vague soft hyperrings.
Tahere Nozari, Morteza Norouzi
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Complex Bipolar-Valued Neutrosophic Soft Set and its Decision-Making Method [PDF]
Neutrosophic Sets and Systems, 2021 We establish the hybrid concept of complex bipolar- valued neutrosophic soft set (CBVNSS) as a hybrid model of bipolar neutrosophic soft set (BNSS)and complex fuzzy set (CFS). A CBVNSS is highly suitable for use in real life situations where the decision
Ashraf Al-Quran +2 more
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AIMS Mathematics, 2022 Soft set has limitation for the consideration of disjoint attribute-valued sets corresponding to distinct attributes whereas hypersoft set, an extension of soft set, fully addresses this scarcity by replacing the approximate function of soft sets with ...
Atiqe Ur Rahman +3 more
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Categorical Properties of Soft Sets [PDF]
The Scientific World Journal, 2014 The present study investigates some novel categorical properties of soft sets. By combining categorical theory with soft set theory, a categorical framework of soft set theory is established. It is proved that the categorySFunof soft sets and soft functions has equalizers, finite products, pullbacks, and exponential properties.
Min Zhou, Shenggang Li, Muhammad Akram
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SOFT β W-HAUSDORFF SPACE IN SOFT BI TOPOLOGICAL SPACES [PDF]
Matrix Science Mathematic, 2018 In this article the concept of Soft β W-?2 structure in soft bi topological spaces is introduced in different ways. Fleix Hausdorff was a German Mathematician who is supposed to be the forefather of up-to-the-minute Topology.
Muhammad Ishfaq +6 more
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APLIKASI DARI N-SOFT SET PADA DATA DENGAN OBJEK BERKELOMPOK
Jurnal LebesgueIn this paper, an application of N-soft set on data with grouped objects will be presented using the construction concept in strait soft set theory to solve a problem in the decision-making process.
Fajar Shodik +2 more
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Soft rough fuzzy sets and soft fuzzy rough sets
Computers & Mathematics with Applications, 2011 AbstractFuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing with uncertainties and are closely related. Feng et al. introduced the notions of rough soft set, soft rough set and soft rough fuzzy set by combining fuzzy set, rough set and soft set all together.
Keyun Qin, Xiaohong Zhang, Dan Meng
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A Soft Interval Based Decision Making Method and Its Computer Application
Foundations of Computing and Decision Sciences, 2021 In today’s society, decision making is becoming more important and complicated with increasing and complex data. Decision making by using soft set theory, herein, we firstly report the comparison of soft intervals (SI) as the generalization of interval ...
Yaylalı Gözde +2 more
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Journal of Hyperstructures, 2019 Soft set theory, proposed by Molodstov has been regarded as an effective mathematical tool to deal with uncertainties. Vague set is a set of objects, each of which has a grade of membership whose value is a continuous subinterval of [0,1].
Sushama Vijaykumar Patil +1 more
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