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Some novel correlation coefficients of spherical fuzzy sets with their application in pattern recognition [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 A spherical fuzzy set is a generalization of picture fuzzy sets, intuitionistic fuzzy sets, and fuzzy sets in which the square sum of the membership, non-membership, and neutrality values is at most one. The correlation coefficient is a crucial tool in
Abdul Haseeb Ganie
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A hybrid method for the assessment of analogical reasoning skills [PDF]
Journal of Fuzzy Extension and Applications, 2022 Much of a person’s cognitive activity depends on the ability to reason analogically. Analogical Reasoning (AR) compares the similarities between new and past knowledge and uses them to obtain an understanding of the new knowledge. The mechanisms, however,
Michael Voskoglou, Said Broumi
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Managing the Uncertainty: From Probability to Fuzziness, Neutrosophy and Soft Sets [PDF]
Transactions on Fuzzy Sets and Systems, 2022 The present paper reviews and compares the main theories reported in the literature for managing the existing real life uncertainty by listing their advantages and disadvantages.
Michael Voskoglou
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Introduction to the MultiNeutrosophic Set [PDF]
Neutrosophic Sets and Systems, 2023 In the real word, in most cases, everything (an attribute, event, proposition, theory, idea, person, object, action, etc.) is evaluated in general by many sources (called experts), not only one.
Florentin Smarandache
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Three-Way Fuzzy Sets and Their Applications (II)
Axioms, 2022 Recently, the notion of a three-way fuzzy set is presented, inspired by the basic ideas of three-way decision and various generalized fuzzy sets, including lattice-valued fuzzy sets, partial fuzzy sets, intuitionistic fuzzy sets, etc.
Jingqian Wang +2 more
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Information, 2023 Orthopairs (pairs of disjoint sets) have points in common with many approaches to managing vaguness/uncertainty such as fuzzy sets, rough sets, soft sets, etc. Indeed, they are successfully employed to address partial knowledge, consensus, and borderline
Tareq M. Al-shami, Abdelwaheb Mhemdi
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The Soft Sets and Fuzzy Sets-Based Neural Networks and Application
IEEE Access, 2020 This paper reviews and compares theories of fuzzy sets and soft sets from the perspective of transformation, and a machine learning model-SF-ANN (the soft sets and fuzzy sets based artificial neural network) is proposed. Liu et al.
Zhicai Liu +3 more
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SOLUTION OF THE TRANSPORT TASK WITH FUZZY DEFINED TARIFFS
International Journal of Advanced Studies, 2021 Optimization tasks containing uncertainty in their formulation have great importance. For example, the optimization problem of delivering fine-flow cargo in the conditions of a large city by the method of fuzzy with-medium.
Elena G. Agapova, Tatyana M. Popova
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Neutrosophic Sets and Systems, 2020 In 1995, Smarandache initiated the theory of neutrosophic set as new mathematical tool for handling problems involving imprecise, indeterminacy, and inconsistent data.
Shawkat Alkhazaleh
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On Neutrosophic Vague Binary BZMZ^dM Sub-algebra of BZMZ^dM-algebra in Neutrosophic Vague Binary Sets [PDF]
Neutrosophic Sets and Systems, 2021 In Model theory, common algebraic structures found are Lattices and Boolean Algebras. In the broad field of research, various algebraic structures can be introduced for a set. BCK, BCI, BCH, BH etc. are some of them.
P. B. Remya, A. Francina Shalini
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