J4 ›› 2011, Vol. 33 ›› Issue (12): 121-125.
• 论文 • Previous Articles Next Articles
JIANG Delong1,2,LI Sheng3,WANG Kewen1,FU Jinguang1
Received:
Revised:
Online:
Published:
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 baddata 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
JIANG Delong1,2,LI Sheng3,WANG Kewen1,FU Jinguang1. Research and Implementation of a Fuzzy Clustering Analysis System[J]. J4, 2011, 33(12): 121-125.
0 / / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://joces.nudt.edu.cn/EN/
http://joces.nudt.edu.cn/EN/Y2011/V33/I12/121