A fuzzy clustering algorithm for manufacturing cell formation

被引：0
|
作者：
Li, J [1 ]
Xu, Y [1 ]
Wang, YF [1 ]
机构：
[1] Hebei Univ Tech, Sch Management, Shijiazhuang 300130, Peoples R China
来源：
PROCEEDINGS OF 2002 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II | 2002年
关键词：
fuzzy C-means; manufacturing cell formation; cellular manufacturing;
D O I：
暂无
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
This paper presents a fuzzy clustering algorithm based on Fuzzy C-Means to solve the manufacturing cell formation problems. The proposed algorithm, which uses the modified distance function and a solution selecting procedure (to identify the best solution) in FCM, remedies the major weaknesses of original FCM clustering. We test the performance of the proposed algorithm with 45 generated data sets. Our experiments show that the proposed approach performs better than the original FCM significantly.
引用
收藏
页码：768 / 772
页数：5
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