Results 251 to 260 of about 75,324 (298)

A class of fuzzy implications obtained from triples of fuzzy implications

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
The aim of this work is to study the class I I, I1, I2 (U) of fuzzy implications obtained by a triple (I, I 1 , I 2 ) of fuzzy implications. Thus, this paper discusses under which conditions such functions preserve the main properties of fuzzy implications.
Renata Reiser, Rosana Zanotelli, Lidiane Costa, Monica Matzneuer, Benjamin Bedregal, Ivan Mezzomo   +5 more
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Fuzzy Implications Generating from Fuzzy Negations

2018
A basic building block in the foundation of fuzzy neural networks is the theory of fuzzy implications. Fuzzy implications play a crucial role in this topic. The aim of this paper is to find a new method of generating fuzzy implications. based on a given fuzzy negation.
Georgios Souliotis, Basil Papadopoulos
openaire   +1 more source

Klir-Yuan Fuzzy Implication in Fuzzy Relations

2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), 2019
Klir-Yuan fuzzy implication, as fuzzy implication generated from the standard strong fuzzy negation, the probabilistic sum t-conorm, and the product t-norm, represents a classical example of QL-implication, where QL-implications are the short for quantum logic fuzzy implications.
Sanela Nesimovic, Dzenan Gusic
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Copulas and fuzzy implications

International Journal of Approximate Reasoning, 2020
A significant part of our knowledge is formulated in terms of imprecise (``fuzzy'') words like ``small''. A natural way to describe such knowledge is to assign, to each possible value of the corresponding quantity \(x\), the expert's degree of confidence that this value satisfies the given property (e.g., that \(x\) is small).
Mesiar, Radko, Kolesárová, Anna
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Fuzzy Implications from Fuzzy Logic Operations

2008
In this first chapter of Part I, we discuss families of fuzzy implications obtained from binary operations on the unit interval [0, 1], i.e., from basic fuzzy logic connectives, viz., t-norms, t-conorms and negations. After giving the necessary background on the above connectives, we investigate three main ways of generating fuzzy implications from ...
Michał Baczyński, Balasubramaniam Jayaram   +1 more
openaire   +1 more source

Fuzzy implication in fuzzy systems control

Fuzzy Sets and Systems, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Generalized extended fuzzy implications

Fuzzy Sets and Systems, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chun Yong Wang, Bao Qing Hu
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Implicative Fuzzy Associative Memories

IEEE Transactions on Fuzzy Systems, 2006
Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this paper, we introduce implicative fuzzy associative memories (IFAMs), a class of associative neural ...
Peter Sussner, Marcos Eduardo Valle
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Fuzzy positive implicative and fuzzy associative filters of lattice implication algebras

Fuzzy Sets and Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On special fuzzy implications

Fuzzy Sets and Systems, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jayaram, Balasubramaniam, Mesiar, Radko
openaire   +2 more sources