Study on similarity measure for overlapped and non-overlapped data

Sanghyuk Lee, He Wei, T. O. Ting

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

The analysis on similarity measure considering fuzzy sets (FSs) for the case of non-overlapped data is done in this work. Similarity measure on overlapped case was not adequate due to inconsistencies for non-overlapped data in terms of similarity calculation. Hence, another similarity was proposed and this is proven by neighbor data information. With artificial data, the rational calculation results are obtained. Additionally, similarity analysis on extension of FSs to intuitionistic fuzzy sets (IFSs) is carried out. IFSs contain uncertainty known as hesitance, which is contained in fuzzy membership function itself. In comparison of similarity measure to FSs and IFSs, the upper bound of IFSs similarity measure was also obtained.

Original languageEnglish
Pages48-53
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013 - Yangzhou, Jiangsu, China
Duration: 23 Mar 201325 Mar 2013

Conference

Conference2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013
Country/TerritoryChina
CityYangzhou, Jiangsu
Period23/03/1325/03/13

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