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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 Openarrow_drop_down
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 . 2024
Data sources: zbMATH Open
Malaysian Journal of Mathematical Sciences
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Some Defuzzification Methods for Interval Type-2 Pentagonal Fuzzy Numbers

Some defuzzification methods for interval type-2 pentagonal fuzzy numbers
Authors: Rahman, N. A.; Rahim, N.; Idris, R.; Abdullah, L.;

Some Defuzzification Methods for Interval Type-2 Pentagonal Fuzzy Numbers

Abstract

Interval type-2 pentagonal fuzzy numbers are developed from the pentagonal fuzzy numbers and interval-valued pentagonal fuzzy numbers concepts. Previous researchers have suggested that various defuzzification methods were used to transform pentagonal fuzzy numbers into crisp numbers. However, very little research discusses defuzzification methods for interval type-2 pentagonal fuzzy numbers. Five interval-tuple fuzzy numbers that act as the input transformed information are needed to obtain crisp numbers via defuzzification methods. Therefore, this study examined some defuzzification methods for developing interval type-2 pentagonal fuzzy numbers where interval type-2 pentagonal fuzzy numbers (input) are transformed into crisp numbers (output). In addition, a comparison between interval type-2 pentagonal fuzzy numbers and general pentagonal fuzzy numbers are provided to validate the consistency and efficiency of these defuzzification methods.

Keywords

defuzzification method, interval type-2 fuzzy numbers, pentagonal fuzzy number, Theory of fuzzy sets, etc.

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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!
3
Top 10%
Average
Average
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