A grey-based clustering algorithm and its application on fuzzy system design
學年 91
學期 2
出版(發表)日期 2003-03-01
作品名稱 A grey-based clustering algorithm and its application on fuzzy system design
作品名稱(其他語言)
著者 翁慶昌; Wong, Ching-chang; Lai, Hung-ren
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 International Journal of Systems Science 34(4), pp.269-281
摘要 A grey-based clustering method was proposed and applied on fuzzy system design. A new grey-clustering algorithm using grey relational analysis as the similarity measure was developed for data clustering. It was more effective and accurate than C-Means like algorithms when dealing with data clustering issue, when the compact and complete separate data were considered. Some data clustering examples are presented to illustrate the effectiveness of the proposed clustering algorithm. Next, an application of the proposed method on fuzzy system design is presented. The procedure of fuzzy system design can be separated into two parts. In the first procedure, the grey-clustering algorithm was employed to form a rough fuzzy system only from gathered input-output data. Then, the gradient descent method was used to determine a suitable parameter set of the formed fuzzy system. A nonlinear system modelling and an inverted pendulum control problem were then used to illustrate the validity of the proposed fuzzy system design procedure.
關鍵字
語言 en
ISSN 0020-7721
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度
國別 GBR
公開徵稿
出版型式 ,紙本
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