教師資料查詢 | 類別: 期刊論文 | 教師: 陳俊豪 CHUN-HAO CHEN (瀏覽個人網頁)

標題:Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems
學年99
學期2
出版(發表)日期2011/05/01
作品名稱Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems
作品名稱(其他語言)
著者Hong, Tzung-Pei; Lin, Wei-Tee; Chen, Chun-Hao; Ouyang, Chen-Sen
單位淡江大學資訊工程學系
出版者Olney: Inderscience Publishers
著錄名稱、卷期、頁數International Journal of Intelligent Information and Database Systems 5(3), pp.229–245
摘要Fuzzy set theory has been used more and more frequently in intelligent systems because of its simplicity and similarity to human reasoning. It usually uses a fuzzy inference system to handle new cases for making decisions or controlling actions. In the past, Takagi and Sugeno proposed a well-known fuzzy model, namely TS fuzzy model, to improve the precision of inference results. In this paper, we try to automatically adjust the membership functions appropriate for the TS fuzzy model. A GA-based learning algorithm is thus proposed to achieve the purpose. The proposed approach considers the shapes of membership functions in fitness evaluation in addition to the accuracy. The experimental results show that the proposed approach can derive the membership functions in the Takagi-Sugeno system with low errors and good shapes.
關鍵字
語言英文
ISSN1751-5858
期刊性質國外
收錄於EI
產學合作
通訊作者Hong, Tzung-Pei
審稿制度
國別英國
公開徵稿
出版型式紙本
相關連結
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