期刊論文
| 學年 | 91 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2003-03-01 |
| 作品名稱 | Design of fuzzy systems with fewer rules |
| 作品名稱（其他語言） | |
| 著者 | 翁慶昌; Wong, Ching-chang; Feng, Hsuan-ming |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Taylor & Francis |
| 著錄名稱、卷期、頁數 | Cybernetics and Systems 34(2), pp.139-160 |
| 摘要 | This article presents an innovative method for designing fuzzy systems composed of fewer fuzzy rules. The conventional approach to fuzzy-system design usually assumes that there exists no correlation among input variables, therefore, grid-type fuzzy partitions are widely adopted. However, in many cases, it is likely that input variables are highly correlated with one another. To avoid the problem of growth of partitioned grids in some complex system, we used an aggregation of hyperrectangulars with different size and different positions to approximate fuzzy partitions that are arbitrarily shaped. The corresponding parameters defining these hyperrectangulars are selected by using genetic algorithms. Furthermore, the number of fuzzy rules of the constructed system can be automatically minimized by choosing a special fitness function that takes this factor into account. Finally, an inverted pendulum control and nonlinear modeling problems are utilized to illustrate the effectiveness of the proposed method. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 0196-9722 |
| 期刊性質 | 國內 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46354 ) |