Similarity measure design for non-overlapped data

Sanghyuk Lee*

*Corresponding author for this work

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

Abstract

Study on similarity measure on fuzzy sets (FSs) for the case of non-overlapped data was proposed, and analyzed. Comparison with similarity measure on overlapped case was done. Different approach to similarity measure was analyzed, and adequate similarity measure on non-overlapped data was designed by considering neighbor information. With artificial data rational calculation results were obtained.

Original languageEnglish
Title of host publicationFuture Information Communication Technology and Applications, ICFICE 2013
Pages299-307
Number of pages9
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Future Information and Communication Engineering, ICFICE 2013 - Shenyang, China
Duration: 24 Jun 201326 Jun 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume235 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2013 International Conference on Future Information and Communication Engineering, ICFICE 2013
Country/TerritoryChina
CityShenyang
Period24/06/1326/06/13

Keywords

  • Intuitionistic data
  • Non-overlapped data
  • Similarity measure

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