• DocumentCode
    1118583
  • Title

    Evidence Resolution Using Concept Hierarchies

  • Author

    Petry, Frederick E. ; Yager, Ronald R.

  • Author_Institution
    Naval Res. Lab., Stennis Space Center
  • Volume
    16
  • Issue
    2
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    299
  • Lastpage
    308
  • Abstract
    This paper describes a conceptual and theoretical framework for the resolution of seemingly contradictory evidence for decision-making. Basic to this approach is the use of granulation provided by the categories obtained by ascending concept hierarchies. This process will be driven by the use of a criterion that represents the utility of granular categories to the user´s decision making. The definition of complete and partial evidence resolution and their properties are developed, which permits the formulation of the concept of preponderance of evidence for the decision maker. Finally, we show some preliminary results on the concepts of strength and consensus measures to provide metrics of the goodness of the evidence resolution.
  • Keywords
    data mining; fuzzy set theory; attribute-oriented data mining; concept hierarchies; data summarization; decision-making; evidence resolution; fuzzy sets; granular categories; Cities and towns; Costs; Data mining; Decision making; Fuzzy sets; Laboratories; Machine intelligence; Concept hierarchy; decision-making; fuzzy sets; generalization; granular categories;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2007.895966
  • Filename
    4481148