Abstract
A new fuzzy clustering algorithm was proposed for manufacture cell formation to avoid infeasible and non-optimal solutions with Fuzzy C-Means. An improved subtract algorithm was used for creation to avoid local optimization, a new distance function was developed to avoid clustering errors among components caused by Euclidean distance, and a best-solution-selection procedure was advocated to avoid final infeasible solution caused by unsuitable algorithm stop-parameter selection. Large-scale comparative tests with 10 literature data sets and 90 random-generated data sets have verified superiority of the proposed algorithm.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1561-1566 |
| Number of pages | 6 |
| Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
| Volume | 10 |
| Issue number | 12 |
| State | Published - Dec 2004 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Software
- Computer Science Applications
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering