Knowledge verification for fuzzy expert systems |
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| Authors: | Po‐Han Wu Gwo‐Haur Hwang Hsiang‐Ming Liu Gwo‐Jen Hwang Judy C.R. Tseng Yueh‐Min Huang |
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| Affiliation: | 1. Department of Engineering Science , National Cheng Kung University , Tainan, 70005, Taiwan, R.O.C.;2. Department of Information Management , Ling Tung University , Taichung, 40852, Taiwan, R.O.C.;3. Department of Information Management , National Chi Nan University , Puli, Nantou 545, Taiwan, R.O.C.;4. Department of Information and Learning Technology , National University of Taiwan , Tainan, 70005, Taiwan, R.O.C. Phone: 886–915396558 Fax: 886–915396558 E-mail: gjhwang@mail.nutn.edu.tw;5. Department of Computer Science and Information Engineering , Chung‐Hua University , Hsinchu 300, Taiwan, R.O.C. |
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| Abstract: | Abstract The introduction and use of fuzzy logic has strengthened knowledge representation and reasoning capability in expert systems; nevertheless, it also increases the complexity and difficulty of knowledge verification, which is known to be an important issue for building reliable and high performance expert systems. In the past decade, knowledge verification problems, e.g., redundancy, conflict, circularity and incompleteness of knowledge, have been widely discussed from the viewpoint of using binary logic; nevertheless, the issue of verifying fuzzy knowledge is seldom discussed. In this paper, we attempt to detect potential structural errors among fuzzy rules by proposing a fuzzy verification algorithm. Moreover, a system for verifying fuzzy knowledge base has been developed based on the novel approach. |
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| Keywords: | knowledge base expert systems knowledge verification fuzzy logic |
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