• DocumentCode
    3269111
  • Title

    Conclusion from uncertain knowledge

  • Author

    Achs, A.

  • Author_Institution
    Pollack Mihaly Fac. of Eng., Univ. of Pecs, Pécs, Hungary
  • fYear
    2010
  • fDate
    10-11 Sept. 2010
  • Firstpage
    291
  • Lastpage
    296
  • Abstract
    The purpose of this paper is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base will be defined and at last a new possible evaluation strategy is given. This knowledgebase and the evaluating procedure can be the base of a possible agent-model.
  • Keywords
    DATALOG; fuzzy logic; knowledge based systems; uncertainty handling; DATALOG; fuzzy Datalog; fuzzy logic; knowledge base; uncertainty handling; Computational modeling; Fuzzy logic; Intelligent systems; Knowledge based systems; Lattices; Semantics; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics (SISY), 2010 8th International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4244-7394-6
  • Type

    conf

  • DOI
    10.1109/SISY.2010.5647449
  • Filename
    5647449
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3269111