A New Multi Attribute Decision Making Method Based on the T-Spherical Hesitant Fuzzy Sets [PDF]
IEEE Access, 2021 In this paper, we first introduce the concept of T-spherical hesitant fuzzy set (T-SHFS) on the basis of the combination of T-spherical fuzzy sets (T-SFSs) and hesitant fuzzy sets (HFSs).
Ashraf Al-Quran
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Divergence Measure of T-Spherical Fuzzy Sets and its Applications in Pattern Recognition [PDF]
IEEE Access, 2020 In this manuscript, spherical fuzzy set (SFS) and T-spherical fuzzy set (TSFS) are discussed, which are two generalizations of fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean fuzzy set (PFS) and picture fuzzy set (PFS).
Mei-Qin Wu, Ting-You Chen, Jian-Ping Fan
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Solution of supply chain management problems using rough t spherical fuzzy set lower and upper approximation spaces [PDF]
Scientific ReportsThe importance of supply chain management lies in its direct influence on efficiency, customer satisfaction, and competitiveness. These issues are addressed, enabling organizations to minimize expenses, enhance reliability, respond to market dynamics ...
Xiaojie Zhao, Yanping Zhou, Lu Sun
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Correlation coefficients for T-spherical fuzzy sets and their applications in pattern analysis and multi-attribute decision-making. [PDF]
Granul Comput, 2023 T-spherical fuzzy set is an effective tool to deal with vagueness and uncertainty in real-life problems, especially in a situation when there are more than two circumstances, like in casting a ballot. The correlation coefficient of T-spherical fuzzy sets is a tool to calculate the association of two T-spherical fuzzy sets.
Saad M, Rafiq A.
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Similarity Measures for T-Spherical Fuzzy Sets with Applications in Pattern Recognition [PDF]
Symmetry, 2018 In this manuscript, two generalizations of fuzzy sets, intuitionistic fuzzy sets and picture fuzzy sets, known as spherical fuzzy sets and T-spherical fuzzy sets, are discussed and a numerical and geometrical comparison among them is established. A T-spherical fuzzy set can model phenomena like voting using four characteristic functions denoting the ...
Kifayat Ullah +2 more
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Energies, 2019 The objective of this paper is to present new interactive averaging aggregation operators by assigning associate probabilities for T-spherical fuzzy sets (T-SFSs).
Shouzhen Zeng +4 more
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Similarity Measures of T-Spherical Fuzzy Sets Based on the Cosine Function and Their Applications in Pattern Recognition [PDF]
IEEE Access, 2020 In this manuscript, nine similarity measures of T-spherical fuzzy set (TSFS) considering the membership degree, the hesitancy degree, the non-membership degree and the refusal degree are developed according to the cosine function.
Mei-Qin Wu, Ting-You Chen, Jian-Ping Fan
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Axioms, 2022 The T-spherical fuzzy set (TSFS) is a modification of the fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean fuzzy set (PyFS), q-rung orthopair fuzzy set (q-ROFS), and picture fuzzy set (PFS), with three characteristic functions: the membership ...
Xiaomin Shen +4 more
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Mathematics, 2019 The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that can describe imprecise events using four types of membership grades with no restrictions.
Shio Gai Quek +8 more
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An intelligent group decision algorithm to analyze the promotion of female leisure sports behavior in colleges and universities [PDF]
Scientific ReportsAs far as we know, we have not observed any other publication before us that has employed T-spherical fuzzy aggregated arithmetic and geometric operators to evaluate strategies of encouraging leisure sports behavior of females.
Kaicheng Zhang
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