On a class of fuzzy c-numbers clustering procedures for fuzzy data

作     者：Yang, MS Ko, CH 

作者机构：Department of Mathematics Chung-Yuan Christian University Chung-Li Taiwan 32023 ROC 

出 版 物：《FUZZY SETS AND SYSTEMS》 (模糊集与系)

年 卷 期：1996年第84卷第1期

页      面：49-60页

核心收录：

学科分类：07[理学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

基　　金：National Science Council of the Republic of China  (NSC 83-0208-M-033-014) 

主　　题：cluster analysis fuzzy clustering fuzzy data analysis fuzzy numbers fuzzy intervals fuzzy c-means clustering fuzzy c-numbers clustering 

摘      要：This paper describes a class of fuzzy clustering procedures for fuzzy data. Most fuzzy clustering techniques are designed for handling crisp data with their class memberships using the idea of fuzzy set theory. Here we derive new types of fuzzy clustering procedures in dealing with fuzzy data. These procedures are called fuzzy c-numbers (FCN) clusterings. Specially, we construct these FCNs for LR-type, triangular, trapezoidal and normal fuzzy numbers.