DocumentCode :
1661677
Title :
An improved fuzzy c-means algorithm for manufacturing cell formation
Author :
Li, Jie ; Chu, Chao-Hsien ; Wang, Yunfeng ; Yan, Weili
Author_Institution :
Sch. of Manage., Hebei Univ. of Technol., Tianjin, China
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1505
Lastpage :
1510
Abstract :
This paper presents an improved fuzzy c-means algorithm to solve the manufacturing cell formation problems. The proposed algorithm, which integrates the subtractive algorithm (to produce an initial solution), the fuzzy c-means (FCM) algorithm and a solution selecting procedure (to identify the best solution), remedies the major weaknesses of original FCM clustering. We test the performance of the proposed algorithm with 20 data sets from open literature and 60 generated data sets. Our experiments show that the proposed approach performs much better than the original FCM and the solutions are consistent with the best solutions found in references or the control solutions
Keywords :
computer aided production planning; data structures; fuzzy set theory; iterative methods; production control; search problems; cellular manufacturing systems; data sets; fuzzy c-means algorithm; iteration process; production control; search problem; subtractive algorithm; subtractive clustering algorithm; Cellular manufacturing; Chaos; Clustering algorithms; Clustering methods; Engineering management; Group technology; Production; Pulp manufacturing; Routing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
Type :
conf
DOI :
10.1109/FUZZ.2002.1006729
Filename :
1006729
Link To Document :
بازگشت