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Fuzzy Sets and Systems
Article . 2020 . Peer-reviewed
License: Elsevier TDM
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Article . 2020
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Article . 2020
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Functional degrees of inclusion and similarity between L-fuzzy sets

Functional degrees of inclusion and similarity between \(L\)-fuzzy sets
Authors: Nicolás Madrid; Manuel Ojeda-Aciego;

Functional degrees of inclusion and similarity between L-fuzzy sets

Abstract

Inclusion is one of the most basic relations between sets. In this paper, we show how to represent the degree of inclusion between two L-fuzzy sets via a function. Specifically, such a function determines the minimal modifications needed in an L-fuzzy set to be included (in Zadeh's sense) into another. To reach such a goal, firstly we present the notion of f-inclusion, which defines a family of crisp binary relations between L-fuzzy sets that are used as indexes of inclusion and, subsequently, we define the φ-degree of inclusion as the most suitable f-inclusion under certain criterion. In addition, we also present three φ-degrees of similarity definable from the φ-degree of inclusion. We show that the φ-degree of inclusion and the φ-degrees of similarities satisfy versions of many common axioms usually required for measures of inclusion and similarity in the literature.

https://openpolicyfinder.jisc.ac.uk/id/publication/11428

Country
Spain
Related Organizations
Keywords

fuzzy sets, Fuzzy sets, Measure of inclusion, Conjuntos difusos, measure of inclusion, Measure of similarity, Theory of fuzzy sets, etc., measure of similarity, Measure of Similarity

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
16
Top 10%
Top 10%
Top 10%
Green