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Slow drift aware dynamic risk assessment in cyber physical systems using quantum neutrosophic fuzzy modelling. [PDF]

Sci Rep
Kiruthika K, Rajesh A, Dhapekar NK, Dubey TK.   +3 more
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Fuzzy power sets and fuzzy implication operators

Fuzzy Sets and Systems, 1980
The theory of fuzzy power sets, which has hitherto been insufficiently developed, is shown very naturally to require the use of a fuzzy implication operator (Section 1). Six such operators are gathered from the literature on multiple-valued logic (Section 2), and their effects on fuzzy power-set theory are compared throughout the rest of the paper ...
Bandler, Wyllis, Kohout, Ladislav
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Multidimensional fuzzy implications

International Journal of Approximate Reasoning, 2022
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Landerson Santiago, Benjamín R. C. Bedregal   +1 more
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On the distributivity of fuzzy implications and the weighted S-implications [PDF]

International Journal of Approximate Reasoning, 2021
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József Dombi 0001, Michal Baczynski 0001   +1 more
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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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An Implication in Fuzzy Sets

2006 IEEE International Conference on Fuzzy Systems, 2006
In this paper we introduce a fuzzy implication. The proposed fuzzy implication does not belong in one of the well known three general classes of fuzzy implications (S-implications, R-implications and QL-implications). Also we give an extended model of this fuzzy implication in intuitionistic fuzzy set and/or interval-valued fuzzy sets.
Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos, Basil K. Papadopoulos   +2 more
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On special fuzzy implications

Fuzzy Sets and Systems, 2009
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Balasubramaniam Jayaram, Radko Mesiar
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FUZZY INCLUSION AND FUZZY SIMILARITY WITH GÖDEL FUZZY IMPLICATOR [PDF]

New Mathematics and Natural Computation, 2009
Fuzzy inclusion and fuzzy similarity are introduced as mappings which produce fuzzy sets constructed with the help of Gödel implicator. The properties of resulting fuzzy sets of inclusion and similarity are studied in detail. Some axiomatic characteristics for being fuzzy orders and fuzzy equivalence relations are also included.
ISMAT BEG, SAMINA ASHRAF
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Aggregating fuzzy implications

Information Sciences, 2013
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Renata Hax Sander Reiser, Benjamín R. C. Bedregal, Michal Baczynski 0001   +2 more
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Fuzzy decision implications

Knowledge-Based Systems, 2013
The aim of this paper is to provide the semantical and syntactical characteristics of fuzzy decision implications, an expression concerning two systems of fuzzy-sets. This Pavelka-style fuzzy logic starts from a fuzzy set of fuzzy decision implications and makes deductions from partially true decision implications.
Yanhui Zhai, Deyu Li 0001, Kaishe Qu
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