Similarity measure design and similarity computation for discrete fuzzy data

作     者：LEE Sang-Hyuk PARK Wook-Je JUNG Dong-yean 

作者机构：Department of Electrical and Electronic EngineeringXi'an Jiaotong-Liverpool University Institute for Information and Electronics ResearchInha University253 Yonghyun-dongNam-GuIncheon402-751Korea Daeho Technology Korea Co.LtdChangwonGyeongnam641-773Korea 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2011年第18卷第5期

页      面：1602-1608页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project(2010-0020163) supported by Priority Research Centers Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education Science and Technology 

主　　题：similarity measure fuzzy number distance similarity evaluation fuzzy membership function 

摘      要：The similarity computations for fuzzy membership function pairs were carried *** number related knowledge was introduced,and conventional similarity was compared with distance based similarity *** usefulness of the proposed similarity measure was *** results show that the proposed similarity measure could be applied to ordinary fuzzy membership functions,though it was not easy to *** conventional results on the calculation of similarity for fuzzy membership pair,fuzzy membership-crisp pair and crisp-crisp pair were carried *** proposed distance based similarity measure represented rational performance with the heuristic point of ***,troublesome in fuzzy number based similarity measure for abnormal universe of discourse case was ***,the similarity measure computation for various membership function pairs was discussed with other conventional results.