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Fuzzy Sets and Systems
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Fuzzy Sets and Systems
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A fuzzy methodology for approaching fuzzy sets of the real line by fuzzy numbers

Authors: Antonio-Francisco Roldán-López-de-Hierro; Miguel Ángel Tíscar; Concepción Roldán; Humberto Bustince;

A fuzzy methodology for approaching fuzzy sets of the real line by fuzzy numbers

Abstract

In this paper we introduce a novel methodology to face the problem of finding, for every fuzzy set of the real line, a fuzzy number which can be considered as an approximation of the first one in some reasonable sense. This methodology depends on a wide variety of initial parameters that each researcher may set depending on his/her own interests. The main objective of this new methodology is to ensure that many of the techniques that are currently available for fuzzy numbers can also be extended to the setting of fuzzy sets of the real line which are, in many ways, much more enriching. To do this, we carry out a study of the families of nested sets that can determine fuzzy numbers through their level sets. Next, we describe some of the main properties that this approximation methodology verifies and we show some examples to illustrate how the initial parameters influence the result of the approximation.

This manuscript has been partially supported by Junta de Andalucía by Project FQM-365 of the Andalusian CICYE, and also by Projects PID2020-119478GB-I00 and PID2019-108392GB-I00 (AEI/10.13039/501100011033 , Ministerio de Ciencia e Innovación).

Country
Spain
Keywords

fuzzy number, nonlinear operator, Fuzzy real analysis, Fuzzy set approximation, Level set, Monotone operator, monotone operator, Nonlinear operator, fuzzy set approximation, Theory of fuzzy sets, etc., level set, Fuzzy number

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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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