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Information Sciences
Article . 2013 . Peer-reviewed
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Article . 2013
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Article . 2013
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Transitivity of fuzzy relations under discretization

Authors: Boixader Ibáñez, Dionís; Recasens Ferrés, Jorge;

Transitivity of fuzzy relations under discretization

Abstract

Fuzzy transitivity is a key property for many fuzzy relational structures, such as fuzzy preorders and equivalences. Theoretical models for practical problems which are based on fuzzy relations make use of continuous scales, mostly the unit interval [0, 1]. Practical implementation of these models though, involves their discretization into finite scales, which generally results in some loss of transitivity. In this paper we study if there are any transitivity preserving discretization strategies. Also, we evaluate the loss of transitivity in some commonly used discretization approaches.

Peer Reviewed

Country
Spain
Keywords

L-relation, T-transitivity, fuzzy relation, indistinguishability operator, Fuzzy relation, Indistinguishability operator, Fuzzy equivalence, Other algebras related to logic, Fuzzy logic, Àrees temàtiques de la UPC::Matemàtiques i estadística::Lògica matemàtica, fuzzy equivalence, Lògica difusa, Fuzzy preorder, \(\mathbf L\)-relation, \( T\)-transitivity, fuzzy preorder, Theory of fuzzy sets, etc.

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selected citations
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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).
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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.
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