Analysis on overlapped and non-overlapped data

Sanghyuk Lee*, Yan Sun, He Wei

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Similarity measure design on non-overlapped data was carried out, and compared with the case of overlapped data. By the application result, it was proved that the conventional similarity measure was not proper to calculate the similarity measure of the non-overlapped case. To solve the similarity measure design problem, neighbor data distance was considered to design the similarity measure of non-overlapped data. Hence different approach to design similarity measure was proposed and proved with consideration of neighbor information. With the example of artificial data, similarity measure calculation was carried out. Similarity measure extension to intuitionistic fuzzy sets(IFSs) containing uncertainty named hesitance was also followed.

Original languageEnglish
Pages (from-to)595-602
Number of pages8
JournalProcedia Computer Science
Publication statusPublished - 2013
Event1st International Conference on Information Technology and Quantitative Management, ITQM 2013 - Suzhou, China
Duration: 16 May 201318 May 2013


  • Intuitionistic data
  • Non-overlapped data
  • Overlapped data
  • Similarity measure


Dive into the research topics of 'Analysis on overlapped and non-overlapped data'. Together they form a unique fingerprint.

Cite this