Results 21 to 30 of about 14,306,753 (348)
FP-intuitionistic multi fuzzy N-soft set and its induced FP-Hesitant N soft set in decision-making
Decision Making: Applications in Management and Engineering, 2022 Intuitionistic fuzzy sets (IFSs) can effectively represent and simulate the uncertainty and diversity of judgment information offered by decision-makers (DMs).
A. Das, Carlos Granados
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Generating Soft Topologies via Soft Set Operators
Symmetry, 2022 As daily problems involve a great deal of data and ambiguity, it has become vital to build new mathematical ways to cope with them, and soft set theory is the greatest tool for doing so. As a result, we study methods of generating soft topologies through
A. Azzam +3 more
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Expert Systems, 2023 AbstractThis article defines ranked soft sets and establishes their fundamental theory. This new model of uncertain knowledge is a non‐numerical yet powerful improvement of soft sets. The model relies on a qualitative improvement of the basic parameterized description posed by soft sets.
Gustavo Santos-García +1 more
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Advances in Decision Sciences, 2011 In 1999, Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Many researchers have studied this theory, and they created some models to solve problems in decision making and medical diagnosis, but most of these models deal only with one expert.
Shawkat Alkhazaleh, Abdul Razak Salleh
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Advances in Fuzzy Systems, 2009 We further contribute to the properties of fuzzy soft sets as defined and studied in the work of Maji et al. ( 2001), Roy and Maji (2007), and Yang et al. (2007) and support them with examples and counterexamples. We improve Proposition 3.3 by Maji et al., (2001).
Bashir Ahmad 0002, Athar Kharal
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Effective Fuzzy Soft Set Theory and Its Applications
Applied Computational Intelligence and Soft Computing, 2022 Fuzzy soft set is the most powerful and effective extension of soft sets which deals with parameterized values of the alternative. It is an extended model of soft set and a new mathematical tool that has great advantages in dealing with uncertain ...
Shawkat Alkhazaleh
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Neutrosophic Hypersoft Expert Set: Theory and Applications [PDF]
Neutrosophic Sets and Systems, 2022 Soft set-like models deal with single argument approximate functions while hypersoft set, an extension of the soft set, deals with multi-argument approximate functions.
Muhammad Ihsan +2 more
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Rough soft sets and rough soft groups [PDF]
Journal of Hyperstructures, 2013 In this paper we discuss some basic properties of rough soft sets and hence we introduce the notion of rough soft group. Basic properties of rough soft group are presented and supported by some illustrative examples.
Jayanta Ghosh, T. K. Samanta
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IEEE Access, 2022 q-rung orthopair fuzzy soft sets (q-ROFSS) is a progressive form for orthopair fuzzy sets. It is also an appropriate extension of intuitionistic fuzzy soft sets (IFSS) and Pythagorean fuzzy soft sets (PFSS).
R. M. Zulqarnain +5 more
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Single Valued Neutrosophic Soft Approach to Rough Sets, Theory and Application [PDF]
Neutrosophic Sets and Systems, 2018 This paper aims to introduce a single valued neutrosophic soft approach to rough sets based on neutrosophic right minimal structure. Some of its properties are deduced and proved. A comparison between traditional rough model and suggested model, by using
Emad Marei
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