• DocumentCode
    1641131
  • Title

    Inverse approximate reasoning: maximize entropy

  • Author

    Eslami, E. ; Buckley, J.J.

  • Author_Institution
    Dept. of Math. & Comput. Sci., Kerman Univ., Iran
  • fYear
    1995
  • Firstpage
    711
  • Lastpage
    713
  • Abstract
    We consider the problem of given the conclusion of a fuzzy rule, find in some sense the “best” data (input) that will produce the given conclusion. In this paper we investigate the use of the principle of maximum entropy to solve this problem
  • Keywords
    inference mechanisms; maximum entropy methods; uncertainty handling; entropy maximisation; fuzzy rule; inverse approximate reasoning; maximum entropy; Computer applications; Decision making; Entropy; Equations; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Lenses; Physics; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527781
  • Filename
    527781
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1641131