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DiscreteFuzzyOperators - A Python library for computing with fuzzy operators

Authors: Munar, Marc; Massanet, Sebastia; Ruiz-Aguilera, Daniel;

DiscreteFuzzyOperators - A Python library for computing with fuzzy operators

Abstract

FuzzyDiscreteOperators is a pure-Python library for operating with discrete connectives defined on a finite chain. Because the domain of each of the operators is finite, the library allows to check some theoretical properties of the operators, such as smoothness, divisibility, etc. Also, check specific properties of some operators, such as discrete implications and additional properties that can satisfy: exchange principle (EP), left neutrality principle (NP), contrapositive symmetry with respect to a discrete negation (CP(N)), etc. In addition, modules are included where these operators are applied, such as decision making from different points of view (discrete fuzzy numbers, two-tuples, etc.), or also the study of the cardinality of some classes of discrete operators. For a better understanding of the library, a specific page has been designed with its documentation, which can be found at the following link: https://mmunar97.gitbook.io/discrete-fuzzy-operators/

Related Organizations
Keywords

Fuzzy logic, Fuzzy sets, Discrete aggregation functions, Discrete triangular conorms, Discrete copulas, Discrete implication functions, Discrete triangular norms, Cardinality of discrete operators, Discrete operators

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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!
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