Intuition based decision methodology for ranking interval type – II fuzzy numbers

Ahmad Abu Bakar, Alexander Emilov Gegov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Type – II fuzzy number is introduced in decision mak-ing analysis as a concept that is capable to effectively deal with uncertainty in the information about a deci-sion. As type – II fuzzy number is represented by possi-bility distribution, it is hard to determine which type – II fuzzy number is greater than the other. In this paper, a new methodology for ranking type – II fuzzy number is proposed. The methodology is made up based on two intuitionistic components namely centroid point and spread. The paper also introduces for the first time the extension of type – II fuzzy number into standardised generalised type – II fuzzy number so that the represen-tation is more generic and applicable to any cases of decision making problems. The methodology is then validated using both theoretical and empirical valida-tions for real decision making applications.
Original languageEnglish
Title of host publication16th world congress of the international fuzzy systems association (IFSA) and the 9th conference of the European society for fuzzy logic and technology (EUSFLAT)
Place of PublicationParis
PublisherAtlantis Press
Pages593-600
ISBN (Print)9789462520776
DOIs
Publication statusPublished - 2015

Publication series

NameAdvances in intelligent systems research
PublisherAtlantis Press
Volume89

Keywords

  • Interval type – II fuzzy numbers
  • ranking interval type – II fuzzy numbers
  • standardised generalised interval type – II fuzzy numbers
  • consistent with human intuition

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