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Interval Valued Versions of T-Conorms, Fuzzy Negations and Fuzzy Implications

Authors: Benjamín R. C. Bedregal; Adriana Takahashi;

Interval Valued Versions of T-Conorms, Fuzzy Negations and Fuzzy Implications

Abstract

There exists infinitely many way to extend the classical prepositional connectives to the set [0,1] such that the behavior in their extremes are as in the classical logic. Still, is a consensus that it is not sufficient, demanding that these extensions also preserves some logical properties of the classical connectives. Thus, were introduced the notions of t-norms, t-conorms, fuzzy negations, and fuzzy implications. In a previous work, the authors generalize the t-norm notion to the set II = {[a, b] : 0 les a les b les 1}, named interval t-norms, and provided canonical constructions to obtain an interval t-norm which is the best interval representation of the t-norm. In this paper, we generalize the notions of t-conorm, fuzzy negation and fuzzy implication to the set I and provide canonical constructions to obtain their best interval representations. We will also provide a way to obtain: an interval fuzzy t-conorm from an interval t-norm and an interval fuzzy negation, an interval fuzzy implication from an interval t-norm, and an interval fuzzy negation from an interval fuzzy implication. We also prove several properties for this constructions.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
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