• DocumentCode
    2565366
  • Title

    Knowledge modeling for fuzzy systems based on ontology

  • Author

    Zhai, Jun ; Lv, Miao ; Li, Jianfeng ; Wang, Qinglian

  • Author_Institution
    Sch. of Econ. & Manage., Dalian Maritime Univ., Dalian
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    3393
  • Lastpage
    3397
  • Abstract
    Fuzzy knowledge is the base of fuzzy systems. Ontology is adopted as a standard for sharing and reusing knowledge on the semantic Web, and fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. In order to achieve fuzzy knowledge sharing for fuzzy systems, this paper utilizes fuzzy ontology to represent formally the fuzzy linguistic variables, considering the semantic relationships between fuzzy concepts defined in fuzzy linguistic variable ontologies. The process to construct fuzzy linguistic variables ontology is discussed. Taking the fuzzy control system of washing machine for example, this paper builds the fuzzy knowledge sharing system with Web ontology language (OWL), which shows that this research facilitates knowledge management for fuzzy systems on the semantic Web.
  • Keywords
    fuzzy systems; knowledge representation languages; ontologies (artificial intelligence); semantic Web; Web ontology language; domain ontology; fuzzy control; fuzzy linguistic variables; fuzzy ontology; fuzzy systems; knowledge modeling; semantic Web; uncertainty problems; washing machine; Fuzzy systems; Ontologies; Fuzzy Linguistic Variable; Fuzzy Ontology; Fuzzy System; Knowledge Modeling; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597959
  • Filename
    4597959