• DocumentCode
    1461905
  • Title

    Knowledge representation using fuzzy deduction graphs

  • Author

    Chandwani, Manohar ; Chaudhari, Narendra S.

  • Author_Institution
    Dept. of Comput. Eng., GS Inst. of Technol. & Sci., Indore, India
  • Volume
    26
  • Issue
    6
  • fYear
    1996
  • fDate
    12/1/1996 12:00:00 AM
  • Firstpage
    848
  • Lastpage
    854
  • Abstract
    A new knowledge representation model, known as fuzzy deduction graph (FDG), is introduced in this paper. An FDG can represent a knowledge base containing the fuzzy propositions and fuzzy rules. In an FDG, a systematic method of finding the fuzzy reasoning path (FRP) is given which is based on Dijkstra´s shortest path framework. The FRP gives a relationship between the antecedent (source) proposition and consequent (goal) proposition, such that the consequent proposition is reached with the greatest fuzzy value. The process of finding the FRP is illustrated with examples,
  • Keywords
    fuzzy logic; knowledge representation; Dijkstra´s shortest path; fuzzy deduction graphs; fuzzy propositions; fuzzy reasoning path; fuzzy rules; knowledge base; knowledge representation; Computer science; Fiber reinforced plastics; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Inference algorithms; Knowledge representation; Labeling; Petri nets; Production;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.544298
  • Filename
    544298