• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2011, Vol. 33 ›› Issue (12): 121-125.

• 论文 • Previous Articles     Next Articles

Research and Implementation of a Fuzzy Clustering Analysis System

JIANG Delong1,2,LI Sheng3,WANG Kewen1,FU Jinguang1   

  1. (1.School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001;2.Corps 71781,Luoyang 471100;3.Railway Police College,Zhengzhou 450001,China)
  • Received:2011-04-11 Revised:2011-09-28 Online:2011-12-24 Published:2011-12-25

Abstract:

By the analytic comparison between fuzzy equivalence and fuzzy ISODATA methods, two methods are synthesized to structure a combined fuzzy clustering analysis method. The set of fuzzy clustering analysis system realizes separately based on fuzzy equivalence relations, fuzzy equivalence relation and fuzzy clustering analysis based on integrated fuzzy clustering, which is developed with VC++ and Fortran6.5. The system is used to identify the baddata in power systems and has made an ideal effect. The analysis of example reveals that the system has the characteristics of flexible choice for clustering approaches, friendly interface, and fast speed of calculation, etc. Therefore, it will have a great application prospect in the future.

Key words: fuzzy clustering analysis;fuzzy equivalence relation;fuzzy ISODATA method;combined model;hybrid programming