Data analysis with fuzzy measure on intuitionistic fuzzy sets

Sanghyuk Lee*, Ka Lok Man, Eng Gee Lim, Mark Leach

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Study of fuzzy entropy on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Built in uncertainty in IFSs, it is named as hesitance. It is contained in fuzzy membership function in itself by definition. Hence, designing fuzzy entropy is not easy because there is no general entropy definition about IFSs. By considering existing fuzzy entropy definitions, fuzzy entropy on IFSs is designed and proved its usefulness. Similarity measure was also extended with the information of entropy, and the similarity measure is verified its usefulness by the proof.

Original languageEnglish
Title of host publicationIMECS 2016 - International Multiconference of Engineers and Computer Scientists 2016
EditorsDavid Dagan Feng, Alexander M. Korsunsky, S. I. Ao, Craig Douglas, Oscar Castillo
PublisherNewswood Limited
Pages674-678
Number of pages5
ISBN (Electronic)9789881404763
Publication statusPublished - 2016
EventInternational Multiconference of Engineers and Computer Scientists 2016, IMECS 2016 - Tsimshatsui, Kowloon, Hong Kong
Duration: 16 Mar 201618 Mar 2016

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2
ISSN (Print)2078-0958

Conference

ConferenceInternational Multiconference of Engineers and Computer Scientists 2016, IMECS 2016
Country/TerritoryHong Kong
CityTsimshatsui, Kowloon
Period16/03/1618/03/16

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