• DocumentCode
    277458
  • Title

    Fuzzy hypothesis trees and decision making

  • Author

    Mohiddin, S.M. ; Saunders, D.I.

  • Author_Institution
    Dept. of Comput. Sci., Queen Mary & Westfield Coll., London, UK
  • fYear
    1992
  • fDate
    33770
  • Firstpage
    42522
  • Lastpage
    42525
  • Abstract
    A new interpretation of decision tree induction is provided. A method is suggested to infer the class of an object using fuzzy relations. It is shown that this new method has several advantages over previous ones in knowledge representation. It can handle vague and incomplete evidence to correctly classify the objects. The problem of unknown evidence is also representable in a uniform way
  • Keywords
    decision support systems; fuzzy logic; inference mechanisms; learning systems; trees (mathematics); decision tree induction; fuzzy hypothesis trees; fuzzy relations; incomplete evidence; knowledge representation; unknown evidence;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Intelligent Decision Support Systems and Medicine, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    168555
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=277458