• DocumentCode
    1039224
  • Title

    Vagueness and Bayesian probability

  • Author

    Wilson, Nic

  • Author_Institution
    Dept. of Comput. Sci., Queen Mary & Westfield Coll., London, UK
  • Volume
    2
  • Issue
    1
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    34
  • Lastpage
    36
  • Abstract
    This paper is a response to Michael Laviolette and John W. Seaman Jr.´s ( ibid. vol.2, no.1, p.4 (1994)) position paper “The efficacy of fuzzy representations of uncertainty,” which criticizes fuzzy representations of uncertainty, and suggests that Bayesian probability can do better. The commenter argues that the author´s make some misleading comments about Bayesian probability, and he briefly discusses the problem of giving a satisfactory interpretation of membership functions
  • Keywords
    Bayes methods; fuzzy set theory; probability; uncertainty handling; Bayesian probability; fuzzy representations; fuzzy set theory; membership functions; uncertainty representation; vagueness; Bayesian methods; Computer science; Fuzzy sets; Uncertainty; Writing;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/91.273121
  • Filename
    273121