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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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]
Granular Computing, 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.
Ayesha Rafiq
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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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Data driven pedagogy in physical education a new paradigm in teaching effectiveness [PDF]
Scientific ReportsThe standard practice of physical education (PE) teaching relies primarily on traditional pedagogical methods that lack systematic data-based techniques for measuring teaching performance.
Yongfu Wu
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Role of human collaboration in artificial intelligence with fuzzy based mathematical models and decision making problems [PDF]
Scientific ReportsThe rapid development of artificial intelligence (AI) and machine learning (ML) has revolutionized computer technology, enabling it to make intelligent decisions, exhibit adaptive behavior, and foster synergistic human-AI environments.
Jiaqi Wang
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Entropy, 2021 Spherical hesitant fuzzy sets have recently become more popular in various fields. It was proposed as a generalization of picture hesitant fuzzy sets and Pythagorean hesitant fuzzy sets in order to deal with uncertainty and fuzziness information ...
Aziz Khan +3 more
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Aczel–Alsina Hamy Mean Aggregation Operators in T-Spherical Fuzzy Multi-Criteria Decision-Making
Axioms, 2023 A T-spherical fuzzy set is a more powerful mathematical tool to handle uncertain and vague information than several fuzzy sets, such as fuzzy set, intuitionistic fuzzy set, Pythagorean fuzzy set, q-rung orthopair fuzzy set, and picture fuzzy set.
Haolun Wang +4 more
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IEEE Access, 2022 Aczel-Alsina t-norm (TN) and t-conorm (TCN) were proposed by Aczel and Alsina in 1982 are more flexible than the other TN and TCN. Since Aczel-Alsina TN and TCN have a great impact due to the variableness of involved parameters, they have good ...
Amir Hussain +3 more
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