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Research of Inference Rules on Decision Implication and Variable Decision Implication [PDF]
Jisuanji kexue yu tansuo, 2022 Formal concept analysis is a data analysis method based on concept lattice, while decision implication and variable decision implication are two decision knowledge representations of formal concept analysis.
XUE Dongqian, ZHAI Yanhui, ZHANG Shaoxia, LI Deyu, XU Weihua
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An Overview of Fuzzy Implication and Its Generalizations
MathematicsFuzzy implication operators are vital in the modeling of uncertain reasoning, particularly in approximate reasoning and fuzzy inference systems. The objective of this survey is to provide a structured and comprehensive overview of fuzzy implication ...
Muhammad Gulzar +2 more
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Implication operators in fuzzy logic
, 2002 The choice of fuzzy implication as well as other connectives is an important problem in the theoretical development of fuzzy logic, and at the same time, it is significant for the performance of the systems in which fuzzy logic technique is employed ...
Ying, M
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An agent-based fuzzy cognitive map approach to the strategic marketing planning for industrial firms [PDF]
, 2013 This is the post-print version of the final paper published in Industrial Marketing Management. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural ...
Lim, N, Lee, H, Lim, J, Lee, KC
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Formulation of Fuzzy Implication Modeling Theory
AxiomsThis work introduces Fuzzy Implication Modeling Theory, a connective-centered framework that supplies an intermediate structural layer between the class and family levels in the subset of fuzzy implications generated by compositions of the three basic ...
Eleftherios Makariadis +3 more
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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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Xor-Implications and E-Implications: Classes of Fuzzy Implications Based on Fuzzy Xor
Electronic Notes in Theoretical Computer Science, 2009 AbstractThe main contribution of this paper is to introduce an autonomous definition of the connective “fuzzy exclusive or” (fuzzy Xor, for short), which is independent from others connectives. Also, two canonical definitions of the connective Xor are obtained from the composition of fuzzy connectives, and based on the commutative and associative ...
Benjamín R. C. Bedregal +2 more
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Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication
, 2005 Inductive logic programming (ILP) is a generic tool aiming at learning rules from relational databases. Introducing fuzzy sets arid fuzzy implication connectives in this framework allows us to increase the expressive power of the induced rules while ...
Prade, Henri +6 more
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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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