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ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2021
License: CC BY
Data sources: ZENODO
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DiscreteFuzzyOperators - A Python library for computing with fuzzy operators

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Jun 2021Publisher:Zenodo
Authors: Munar, Marc;

doi: 10.5281/zenodo.5031269

DiscreteFuzzyOperators - A Python library for computing with fuzzy operators

Abstract

FuzzyDiscreteOperators is a library to operate with discrete fuzzy operators (t-norms, t-conorms, copulas, uninorms, etc). It allows to check theoretical properties, such as smoothness, divisibility, or some known properties that must be verified by the implication functions. For more information, to see the full documentation visit https://github.com/mmunar97/discrete-fuzzy-operators

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Keywords

Fuzzy logic, Fuzzy sets, Triangular norms, Discrete aggregation functions, Triangular conorms, Discrete implication functions, Copulas, 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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