標題: A new interpolative reasoning method in sparse rule-based systems
作者: Hsiao, WH
Chen, SM
Lee, CH
資訊工程學系
Department of Computer Science
關鍵字: linear interpolative reasoning;fuzzy approximate reasoning;sparse rule-based systems
公開日期: 1-一月-1998
摘要: In [7], Yan et al. analyzed Koczy and Hirota's linear interpolative reasoning method presented in [2,3] and found that the reasoning consequences by their method sometimes become abnormal fuzzy sets. Thus, they pointed out that a new interpolative reasoning method will be needed which can guarantee that the interpolated conclusion will also be triangular-type for a triangular-type observation. In this paper, we extend the works of [2,3,7] to present a new interpolative reasoning method to deal with fuzzy reasoning in sparse rule-based systems. The proposed method can overcome the drawback of Koczy and Hirota's method described in [7]. It can guarantee that the statement "If fuzzy rules A(1) double right arrow B-1, A(2) double right arrow B-2, and the observation A* are defined by triangular membership functions, the interpolated conclusion B* will also be triangular-type" holds. (C) 1998 Elsevier Science B.V.
URI: http://hdl.handle.net/11536/41
ISSN: 0165-0114
期刊: FUZZY SETS AND SYSTEMS
Volume: 93
Issue: 1
起始頁: 17
結束頁: 22
顯示於類別:期刊論文


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