Results 31 to 40 of about 704,638 (302)
Generalisation of Implication-Based Fuzzy Semiautomaton Over a Finite Group [PDF]
, 2017 We have defined the concept of implication-based T-fuzzy semiautomaton (IB-T-FSA) over a finite group. The ideas of an implication-based T-fuzzy kernel and implication-based T-fuzzy subsemiautomaton of an IB-T-FSA over a finite group are introduced using ...
Michael Anna Spinneli, J. +3 more
core +1 more source
International Journal of Approximate Reasoning, 1987 In order to build expert systems and other human-behaviour-like systems one needs reasoning schemes that are richer than the classical two-valued logic. This paper starts with a linguistic justification that intermediate degrees of truth are needed. Up to an isomorphism the unit interval [0,1] with its natural order is taken as the domain of possible ...
Smets, Philippe, Magrez, Paul
openaire +3 more sources
F1000ResearchBackground In this paper, we present the intersection of a family of fuzzy ideals and fuzzy filters as fuzzy ideals and fuzzy filters, respectively.
Derebew Nigussie Derso +1 more
doaj +1 more source
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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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
doaj +1 more source
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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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 +7 more
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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
doaj +1 more source
Fuzzy implication functions with a specific expression: The polynomial case
, 2022 In the last decades, more than a hundred families of fuzzy implication functions have been proposed. These families are generated by adequately combining other logical connectives or univariate functions. However, no attention has been given to the final
Massanet, Sebastia +11 more
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How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome
FEBS Letters, EarlyView.In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini +3 more
wiley +1 more source