An Improved Fuzzy Clustering Method for Cellular Manufacturing
Fuzzy c-means (FCM) has been successfully adapted to solve the manufacturing cell formation problem. However, when the problem becomes larger and especially if the data is ill structured, the FCM may result in clustering errors, infeasible solutions, and uneven distribution of parts/machines. In thi...
Saved in:
Main Authors: | LI, J., CHU, Chao-Hsien, WANG, Y., YAN, W. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2007
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1786 http://dx.doi.org/10.1080/00207540600634923 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Fuzzy C-means algorithm with local thresholding for gray-scale images
by: Ng, H.P., et al.
Published: (2011) -
Fuzzy C-means clustering protocol for Wireless Sensor Networks
by: Hoang, D.C., et al.
Published: (2014) -
Hybrid and adaptive genetic fuzzy clustering algorithms
by: LIU MING
Published: (2010) -
On post-clustering evaluation and modification
by: Ong, S.H., et al.
Published: (2014) -
On post-clustering evaluation and modification
by: Ong, S.H., et al.
Published: (2014)