Design of similarity measure for discrete data and application to multi-dimension

Myeong Ho Lee, He Wei, Sang Hyuk Lee, Sang Min Lee, Seung Soo Shin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.

Original languageEnglish
Pages (from-to)982-987
Number of pages6
JournalJournal of Central South University
Issue number4
Publication statusPublished - Apr 2013


  • discrete data
  • multi-dimension
  • power interconnected system
  • relative degree
  • similarity measure


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