• DocumentCode
    1623938
  • Title

    The probability measure for a fuzzy event in a fuzzy sample space-a study based on the principle of complete ignorance

  • Author

    Kato, Yuichi ; Okamoto, Hirotaka ; Ohtsuki, Ryuichi ; Yamaguchi, Shizuma

  • Author_Institution
    Interdisciplinary Fac. of Sci. & Eng., Shimane Univ., Matsue, Japan
  • Volume
    3
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    79
  • Abstract
    Proposes an idea for the problem of how to rationally qualify the probability measure for a vague event in a vague sample space after a subject considers the event and the sample space, and clarifies the vagueness by use of his subjective judgment and fuzzy sets theory. The following points are studied: (1) the probability measure is calculated by use of the principle of complete ignorance and expressed as the measure with possibility; (2) the fuzzy random variable is defined and its possible and necessary probability distributions are derived from studies in Zadeh (1978); (3) the Bayes estimation method based on vague observation is studied; and (4) the consideration of the probability measure studied in the above paper is given based on the possibility/probability consistency principle
  • Keywords
    Bayes methods; fuzzy set theory; possibility theory; probability; Bayes estimation method; consistency principle; fuzzy event; fuzzy random variable; fuzzy sample space; necessary probability distributions; principle of complete ignorance; probability measure; subjective judgment; vague event; vague observation; vague sample space; Earth; Extraterrestrial measurements; Fuzzy set theory; Fuzzy sets; Humans; Probability distribution; Random variables; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-5731-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1999.823158
  • Filename
    823158