A fuzzy petri net-based expert system and its application to damage assessment of bridges

Jonathan Lee, Kevin F.R. Liu, Weiling Chiang

研究成果: 雜誌貢獻期刊論文同行評審

46 引文 斯高帕斯(Scopus)

摘要

In this paper, a fuzzy Petri net approach to modeling fuzzy rule-based reasoning is proposed to bring together the possibilistic entailment and the fuzzy reasoning to handle uncertain and imprecise information. The three key components in our fuzzy rule-based reasoning-fuzzy propositions, truth-qualified fuzzy rules, and truth-qualified fuzzy facts - can be formulated as fuzzy places, uncertain transitions, and uncertain fuzzy tokens, respectively. Four types of uncertain transitions - inference, aggregation, duplication, and aggregation-duplication transitions - are introduced to fulfill the mechanism of fuzzy rule-based reasoning. A framework of integrated expert systems based on our fuzzy Petri net, called fuzzy Petri net-based expert system (FPNES), is implemented in Java. Major features of FPNES include knowledge representation through the use of hierarchical fuzzy Petri nets, a reasoning mechanism based on fuzzy Petri nets, and transformation of modularized fuzzy rule bases into hierarchical fuzzy Petri nets. An application to the damage assessment of the Da-Shi bridge in Taiwan is used as an illustrative example of FPNES.

原文???core.languages.en_GB???
頁(從 - 到)350-369
頁數20
期刊IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
29
發行號3
DOIs
出版狀態已出版 - 1999

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