• DocumentCode
    1945203
  • Title

    Fuzzy rule representation and knowledge base construction in expert system

  • Author

    Ren, Yongchang ; Chai, Xuguang ; Xing, Tao ; Chen, Xiaoji

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Bohai Univ., Jinzhou, China
  • fYear
    2010
  • fDate
    15-16 Nov. 2010
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    Fuzzy rule is the core of fuzzy expert system, which use relational database methods knowledge to build knowledge base, the combination of database and knowledge base is the development trend of the knowledge base. This paper describes the fuzzy rules first, including fuzzy logic, fuzzy production rules, multi-dimensional fuzzy rules; and studies the fuzzy rule representation, including the general rule representation and fuzzy rule representation; finally researches the construction of knowledge base, including the Knowledge Base System Structure and knowledge base table structure. The results show that the type knowledge of fuzzy rule reflects the relationship between the rules of deductive reasoning logical implication of the way to the database is a natural extension from the database to the knowledge base, which has some theoretical and practical value.
  • Keywords
    expert systems; fuzzy logic; fuzzy set theory; inference mechanisms; knowledge representation; relational databases; deductive reasoning; fuzzy expert system; fuzzy logic; fuzzy production rules; fuzzy rule representation; knowledge base system; logical implication; relational database; Cognition; Databases; Expert systems; Knowledge representation; Artificial Intelligence; expert system; fuzzy rule representation; knowledge base construction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6791-4
  • Type

    conf

  • DOI
    10.1109/ISKE.2010.5680805
  • Filename
    5680805