• DocumentCode
    2546500
  • Title

    FPNES: fuzzy Petri net based expert system for bridges damage assessment

  • Author

    Liu, Kevin F R ; Lee, Jeyull ; Chiang, Weiling ; Yang, Shanchieh Jay

  • Author_Institution
    Dept. of Civil Eng., Nat. Central Univ., Chung-Li, Taiwan
  • fYear
    1998
  • fDate
    10-12 Nov 1998
  • Firstpage
    302
  • Lastpage
    309
  • Abstract
    A framework of integrated expert systems based on fuzzy Petri net, called fuzzy Petri net based expert system (FPNES) are proposed for bridge damage assessment. Major features of FPNES include: reasoning for uncertain and imprecise information; knowledge representation through the use of hierarchical fuzzy Petri nets; reasoning mechanism based on fuzzy Petri nets; and explanation of reasoning process through the use of hierarchical fuzzy Petri nets. FPNES offer several important benefits: (1) providing reasoning mechanism for uncertain and fuzzy information, (2) improving the efficiency of rule based reasoning by constructing relationship of concurrency among rule activation, and (3) explaining how to reach conclusions through the movements of tokens in fuzzy Petri nets. An application to the damage assessment of the Da-Shi bridge in Taiwan is used as an illustrative example of FPNES
  • Keywords
    Petri nets; civil engineering computing; expert systems; fuzzy set theory; inference mechanisms; knowledge representation; uncertainty handling; Da-Shi bridge; FPNES; Taiwan; bridge damage assessment; explanation; fuzzy Petri net based expert system; hierarchical fuzzy Petri nets; imprecise information; integrated expert systems; knowledge representation; reasoning; reasoning mechanism; reasoning process; rule activation; rule based reasoning; tokens; uncertain information; Bridges; Civil engineering; Computer science; Expert systems; Fuzzy reasoning; Fuzzy systems; Hybrid intelligent systems; Knowledge representation; Petri nets; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1082-3409
  • Print_ISBN
    0-7803-5214-9
  • Type

    conf

  • DOI
    10.1109/TAI.1998.744858
  • Filename
    744858