Bidirectional Approximate Reasoning Methods for Rule-Based Systems

• Main Authors: Hsiao, Wen-Hoar, 蕭文豪
• Other Authors: Shyi-Ming Chen
• Format: Others
• Language: zh-TW
• Published: 1996
• Online Access: http://ndltd.ncl.edu.tw/handle/00948217225740380686

碩士 === 國立交通大學 === 資訊科學學系 === 84 === In this thesis, we propose two new bidirectional approximate reasoningmethods for rule-based systems. The first method is developed to handlebidirectional approximate reasoning for rule-based systems usinginterval-valued fuzzy sets based on the matching function and the second oneis developed to handle fuzzy interpolative bidirectional approximatereasoning for sparse rule-based systems. The first proposed method is morereasonable and powerful than the existing ones due to the fact that the proposed method can perform bidirectional approximate reasoning based on thedirection of matching of the matching function. The second proposed methodcan guarantee that the interpolated conclusion will also be triangular- typefor a triangular-type observation and vice versa.