自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 20    No. 4    April 2013

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Design of similarity measure for discrete data and application to multi-dimension
LEE Myeong-ho1, WEI He(魏荷)2, LEE Sang-hyuk2, LEE Sang-min3, SHIN Seung-soo4

1. Department of e-Commerce, Semyung University, 579 Shinwol-dong, Jaechon, 390-711, Korea;
2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China;
3. Institute for Information and Electronics Research, Inha University, 253 Yonghyun-Dong, Nam-Gu,
Incheon, 402-751, Korea;
4. Department of Information Security, Tongmyung University, Daeyeon 3-dong, Nam-gu, Busan, 608-737, Korea

Abstract: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.

 

Key words: similarity measure; multi-dimension; discrete data; relative degree; power interconnected system

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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