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Information Sciences
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2007
Data sources: zbMATH Open
DBLP
Article . 2007
Data sources: DBLP
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On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision

Authors: Glad Deschrijver; Etienne E. Kerre;

On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision

Abstract

The paper offers a concise and focused view at intuitionistic fuzzy sets cast in the framework of various formalisms used to model uncertainty. In a nutshell, intuitionistic sets are useful in capturing concepts where a degree of membership of a certain point, \(A(x)\), taken along with a degree of non-membership, \(A^\sim(x)\), satisfy the relationship \(A(x)+A^\sim(x)\leq 1\). This concept is compared vis-à-vis some other commonly encountered models of uncertainty, in particular interval-valued fuzzy sets, \(L\)-fuzzy sets, soft sets and a number of interesting linkages between them and intuitionistic fuzzy sets are revealed. The study offers an interesting diagram summarizing the main dependencies between all these constructions.

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Keywords

models of uncertainty, taxonomy, comparative analysis, intuitionistic fuzzy set, \(L\)-fuzzy set, vagueness, soft set, Theory of fuzzy sets, etc., Reasoning under uncertainty in the context of artificial intelligence, interval-valued fuzzy set, probabilistic set

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Powered by OpenAIRE graph
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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!
194
Top 10%
Top 1%
Top 1%
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