Results 41 to 50 of about 4,168,110 (322)
Similarity Measure of Hesitant Fuzzy Sets Based on Implication Function and Clustering Analysis
IEEE Access, 2020 Hesitant fuzzy set (HFS) permits several possible values as the membership degree of an element to a set to express the decision makers' hesitance. Since its appearance, HFS has been extensively applied in multi-attribute decision making, group decision ...
Wenyi Zeng, Rong Ma, Qian Yin, Zeshui Xu
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INTELLIGENCE SYSTEM OF COTTAGE CHEESE QUALITY CONTROL
Современная наука и инновации, 2022 The need of creation of the automated system for diagnostics of cottage cheese quality is proved in the article. The inverse fuzzy inference method of dependence of the final product quality on the quality of the raw materials and the correctness of the ...
A. V. Ganicheva, A. V. Ganichev
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Interval valued $(\in,\ivq)$-fuzzy filters of pseudo $BL$-algebras
, 2008 We introduce the concept of quasi-coincidence of a fuzzy interval value with an interval valued fuzzy set. By using this new idea, we introduce the notions of interval valued $(\in,\ivq)$-fuzzy filters of pseudo $BL$-algebras and investigate some of ...
A Di Nola +37 more
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Fuzzy inequational logic [PDF]
, 2015 We present a logic for reasoning about graded inequalities which generalizes the ordinary inequational logic used in universal algebra. The logic deals with atomic predicate formulas of the form of inequalities between terms and formalizes their semantic
Vychodil, Vilem
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Measurement of Countable Compactness and Lindelöf Property in RL-Fuzzy Topological Spaces
Complexity, 2021 Based on the concepts of pseudocomplement of L-subsets and the implication operator where L is a completely distributive lattice with order-reversing involution, the definition of countable RL-fuzzy compactness degree and the Lindelöf property degree of ...
Xiongwei Zhang +2 more
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Efficient algorithms for approximate reasoning [PDF]
, 1999 We present algorithms for approximate reasoning computations, for some intersection and implication functions, which are as efficient as E.H. Mamdani et al.'s (1975) interpolation method.
Broek, P.M. van den
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Formal Introduction to Fuzzy Implications [PDF]
Formalized Mathematics, 2017 Summary In the article we present in the Mizar system the catalogue of nine basic fuzzy implications, used especially in the theory of fuzzy sets. This work is a continuation of the development of fuzzy sets in Mizar; it could be used to give a variety of more general operations, and also it could be a good starting point towards the ...
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A Method of Generating Fuzzy Implications from n Increasing Functions and n + 1 Negations
Mathematics, 2020 In this paper, we introduce a new construction method of a fuzzy implication from n increasing functions g i : [ 0 , 1 ] → [ 0 , ∞ ) , ( g ( 0 ) = 0 ) ( i = 1 , 2 , … , n , n ∈ ℕ ) and n + 1 fuzzy negations
Maria N. Rapti, Basil K. Papadopoulos
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On a New Intuitionistic Fuzzy Implication
Conference of International Fuzzy Systems Association and European Society for Fuzzy Logic and Technology, 2015 Here a new intuitionistic fuzzy implication is constructed. Its relations with some forms of Klir and Yuan’s axioms are studied. Some open problems, related to the operations of intuitionistic fuzzy propositional calculus, are formulated.
K. Atanassov
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Fundamental Properties of Fuzzy Implications [PDF]
Formalized Mathematics, 2018 Summary In the article we continue in the Mizar system [8], [2] the formalization of fuzzy implications according to the monograph of Baczyński and Jayaram “Fuzzy Implications” [1]. We develop a framework of Mizar attributes allowing us for a smooth proving of basic properties of these fuzzy connectives [9].
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