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Generalised Atanassov Intuitionistic Fuzzy Sets

Ioan Despi, Dumitru Opris, Erkan Yalcin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

When Atanssov created Intuitionistic Fuzzy Sets, he imposed the condition that the sum of membership and non-membership values for each point in the universe of discourse should be less than or equal to one. We challenge this constraint and define some new types of Intuitionistic Fuzzy Sets such that, for any point in the universe of discourse, the sum of membership and non-membership values can be greater than one, or their difference can be negative or positive, while one value is greater than the other, or the sum of their squares is less than or equal to one.
Original languageEnglish
Title of host publicationProceedings of The Fifth International Conference on Information, Process, and Knowledge Management (eKNOW 2013)
EditorsDirk Malzahn
Place of PublicationRed Hook, United States of America
PublisherCurran Associates Inc
Pages51-56
ISBN (Print)9781627480062, 9781612082547
Publication statusPublished - 2013
EventeKNOW 2013: 5th International Conference on Information, Process, and Knowledge Management - Nice, France
Duration: 24 Feb 20131 Mar 2013

Conference

ConferenceeKNOW 2013: 5th International Conference on Information, Process, and Knowledge Management
CityNice, France
Period24/02/131/03/13

Keywords

  • Neural, Evolutionary and Fuzzy Computation

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