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

標題:A Two-Stage Multi-Objective Genetic-Fuzzy Mining Algorithm
學年101
學期2
發表日期2013/04/29
作品名稱A Two-Stage Multi-Objective Genetic-Fuzzy Mining Algorithm
作品名稱(其他語言)
著者Chun-Hao Chen;Ji-Syuan He;Tzung-Pei Hong
作品所屬單位資訊工程學系暨研究所
出版者
會議名稱2013 IEEE Symposium Series on Computational Intelligence
會議地點Singapore
摘要In this paper, we propose a two-stage multi-objective fuzzy mining algorithm for dealing with linguistic knowledge discovery. In the first stage, the multi-objective genetic lgorithm is used to derive a set of non-dominated membership functions (Pareto solutions) with two objective functions. In the second stage, the clustering technique is utilized to find representative solutions from the Pareto solutions. The epresentative solutions could be employed to mine fuzzy association rules according to the favorites of decision makers. Experiments on a simulation dataset are made and the results show the effectiveness of the proposed algorithm.
關鍵字Multi-objective genetic algorithm, clustering technique, membership function, taxonomy, fuzzy association rule.
語言英文(美國)
收錄於EI
會議性質國際
校內研討會地點
研討會時間
通訊作者Tzung-Pei Hong
國別
公開徵稿Y
出版型式電子版
出處SSCI
相關連結
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