教師資料查詢 | 類別: 期刊論文 | 教師: 鄭啟斌 Chi-Bin Cheng (瀏覽個人網頁)

標題:A fuzzy inference system for similarity assessment in case-based reasoning systems: an application to product design
學年91
學期2
出版(發表)日期2003/06/28
作品名稱A fuzzy inference system for similarity assessment in case-based reasoning systems: an application to product design
作品名稱(其他語言)
著者鄭啟斌
單位淡江大學資訊管理學系
出版者
著錄名稱、卷期、頁數Mathematical and Computer Modeling 38(3-4), pp.385-394
摘要Nearest-neighbor matching functions are commonly use din case-based reasoning systems to assess the overall similarity betweena an old case and the tagert problem by a weighted sum of individual similarity measures along case attribute. It is discussed in this paper that the linear form of weighted sum in the nearest-neighbor matching function may not well address the nonlinear effects of attributes toward the overall similarity, and the imprecise nature of weights associated with attributes may fail to produce robust results in care retrieval. To remedy these two deficiencies, a generalized nearest-neighbor matching function based on a fuzzy inference system is proposed. This approach also has the advantage of incorporating the user's knowledge in similarity assessment. An application to the case-based retrieval for new product design illustrates the proposed approach. Comparisons between the proposed approach and the traditional nearest-neighbor matching functon are carried out to show the robustness of the proposed approach.
關鍵字Case-based reasoning;Case retrieval;Similarity measure;Fuzzy inference system;Product design
語言英文
ISSN0895-7177;1872-9479
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別英國
公開徵稿
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