• DocumentCode
    322320
  • Title

    The voting-type technique in the refinement of multiple expert knowledge

  • Author

    Puuronen, Seppo ; Terziyan, Vagan

  • Author_Institution
    Jyvaskyla Univ., Finland
  • Volume
    5
  • fYear
    1997
  • fDate
    7-10 Jan 1997
  • Firstpage
    287
  • Abstract
    The goal of this paper is to develop methods to handle inconsistent knowledge elicited from multiple sources. Knowledge is represented using predicates that define relationships within three sets: domain objects, concepts, and knowledge sources. Sources express their comprehension of the use of each concept to describe each object by giving their votes: yes, no, and no-op. We also derive and interpret internal relations between any pair of subsets of the same type taken of the three sets: objects, concepts, and sources. We refer to the relations between any two subsets of different types as external relations. Intersections between the sets are interpreted as multilevel structures of knowledge and they are used for knowledge refinement. The refinement technique presented is based on the derivation of the most supported opinion of the group of experts and refitting it further using a multilevel structure of knowledge sources
  • Keywords
    knowledge acquisition; knowledge representation; concepts; domain objects; knowledge elicitation; knowledge refinement; knowledge sources; multilevel structures; multiple expert knowledge refinement; predicates; voting-type technique; Expert systems; Knowledge acquisition; Knowledge based systems; Logic; Neural networks; Pathology; Statistical analysis; Voting; Waste materials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1997, Proceedings of the Thirtieth Hawaii International Conference on
  • Conference_Location
    Wailea, HI
  • ISSN
    1060-3425
  • Print_ISBN
    0-8186-7743-0
  • Type

    conf

  • DOI
    10.1109/HICSS.1997.663355
  • Filename
    663355