Results 271 to 280 of about 197,240 (304)
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Redefined fuzzy implicative filters

Information Sciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun, Young Bae, Xu, Yang, Ma, Jun
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Fuzzy Implications from Uninorms

2008
In Chap. 2, we had seen the different ways of defining fuzzy implications based on the basic fuzzy logic connectives, viz., fuzzy negations, t-norms and t-conorms. Uninorms were introduced recently by Yager and Rybalov [263] (see also Fodor et al. [106]) as generalizations of t-norms and t-conorms and are thus another fertile source based on which one ...
Michał Baczyński   +1 more
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Mutually exchangeable fuzzy implications

Information Sciences, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Radial Implicative Fuzzy Systems

The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005
The notion of a radial implicative fuzzy system is introduced. The computational model of these systems is presented and it is shown how radial systems can be created on the basis of the minimum or a given continuous Archimedean t ...
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On fuzzy implication relations

Fuzzy Sets and Systems, 1994
Abstract For the last decade, fuzzy controllers have been applied with great success to a variety of domains. Nevertheless, the underlying theoretical framework still remains unsatisfactory. One of the key questions still open is concerned with approximate reasoning. How should we determine the effect of applying the fuzzy rule [IF x is A THEN y is B]
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Sheffer Stroke Fuzzy Implications

2017
A new family of fuzzy implications, motivated by classic Sheffer stroke operator, is introduced. Sheffer stroke, which is a negation of a conjunction and is called NAND as well, is one of the two operators that can be used by itself, without any other logical operators, to constitute a logical formal system.
Wanda Niemyska   +2 more
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Fuzzy Boundary Weak Implications

2018
An extension of fuzzy implications and coimplications, called fuzzy boundary weak implications (shortly, fuzzy bw-implications), is introduced and discussed in this paper. Firstly, by weakening the boundary conditions of fuzzy implications and coimplications, we introduce the concept of fuzzy bw-implications.
Hua-Wen Liu, Michał Baczyński
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Implicational Tonoid Fuzzy Logics

2018
This paper deals with one class of propositional fuzzy logics. Recently, fuzzy logic systems have been introduced as logics being complete with respect to linearly ordered algebras, in particular, algebras on the unit interval [0,1]. One of important trends in this logic is to introduce logic systems having more general structures.
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Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification

IEEE Transactions on Cybernetics, 2020
Feng Shuang, C P Chen
exaly  

Distances from Fuzzy Implications

2023
Kavit Nanavati   +2 more
openaire   +1 more source

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