• DocumentCode
    1964222
  • Title

    Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web

  • Author

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

  • Author_Institution
    Sch. of Econ. & Manage., Dalian Maritime Univ., Dalian
  • fYear
    2008
  • fDate
    23-25 May 2008
  • Firstpage
    429
  • Lastpage
    433
  • Abstract
    Knowledge sharing is the basic means to improve the efficiency of supply chain management (SCM). Ontology is the basis of sharing and reusing knowledge on the semantic Web. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. In order to handle fuzzy phenomenon and uncertainty of knowledge in SCM, this paper proposes a series of fuzzy ontology models using intuitionistic fuzzy set that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies. Then, a fuzzy ontology framework is presented, including three parts: concepts, properties of concepts and values of properties. The application, which uses fuzzy ontology to model customer and product knowledge in supply chain, shows that these models can overcome the localization of other fuzzy ontology models, and this research facilitates the fuzzy knowledge sharing and reuse on the semantic Web.
  • Keywords
    computational linguistics; fuzzy set theory; knowledge management; ontologies (artificial intelligence); semantic Web; supply chain management; fuzzy linguistic variable ontologies; intuitionistic fuzzy set; knowledge sharing; product knowledge; semantic Web; supply chain management; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Knowledge management; Multimedia systems; Ontologies; Semantic Web; Supply chain management; Supply chains; Uncertainty; Knowledge sharing; Supply Chain Management. Fuzzy ontology; the Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ISIP), 2008 International Symposiums on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3151-9
  • Type

    conf

  • DOI
    10.1109/ISIP.2008.24
  • Filename
    4554126