Knowledge verification for fuzzy expert systems

Po Han Wu, Gwo Haur Hwang, Hsiang Ming Liu, Gwo Jen Hwang, Judy C.R. Tseng, Yueh Min Huang

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)997-1009
Number of pages13
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Issue number6
Publication statusPublished - 2008

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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