頁籤選單縮合
題 名 | A Fuzzy Reasoning Method in Fuzzy Rule-Based Classification Systems |
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作 者 | Huang,Ju-yu; Hsien,Nan-chen; | 書刊名 | 景文技術學院學報 |
卷 期 | 10:1 1999.09[民88.09] |
頁 次 | 頁129-136 |
分類號 | 400.24 |
關鍵詞 | Fuzzy rule-based classification system; Approximate reasoning; Matching degree; Certainty degree; |
語 文 | 英文(English) |
英文摘要 | Fuzzy rule -based classification systems employs fuzzy relation as tool to achieve pattern classification, and fuzzy reasoning method classifies patterns with the consequent of the rule with the greatest degree of association. Classical fuzzy reasoning method cannot process pattern in type-2 fuzzy set. In this paper, we develop a fuzzy reasoning method that based on uncertain rules and classify patterns into classes. The procedure of reasoning includes a truth function applied to each sub-clause in rule to calculate matching degree, a fuzzy resemblance relation to measure uncertainty and an aggregation function to calculate the association degree for pattern of classes. Our approach can process a wider-range of imprecise information and reasoning semantically. |
本系統中英文摘要資訊取自各篇刊載內容。