• DocumentCode
    1674390
  • Title

    Presentation of uncertain information with help of canonically conjugate Fuzzy subsets

  • Author

    Tsintsadze, M.

  • Author_Institution
    Iv. Javakhishvili Tbilisi State Univ., Tbilisi, Georgia
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In modern world we mostly deal with two type uncertainty based on vagueness and ambiguity accordingly. Modeling situation with first type uncertainty mostly based on Fuzzy sets and degree of fuzziness. Major inconvenience with fuzzy modeling is based on expert estimations, we´ll need additional criteria to choose “right” expert, with “right” estimations. When there is not enough information on property we´d like to model, we are offering to find canonically conjugate one that would be easier to describe and is completing the information about object. We will construct model that would be “mean”-ed: based on expert estimation, canonically conjugate property and optimality condition.
  • Keywords
    fuzzy set theory; information theory; ambiguity; canonically conjugate fuzzy subset; canonically conjugate property; fuzziness degree; fuzzy modeling; optimality condition; two type uncertainty; uncertain information presentation; vagueness; fuzzy differential equations; fuzzy information; optimal model; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference
  • Conference_Location
    Baku
  • Print_ISBN
    978-1-4673-4500-2
  • Type

    conf

  • DOI
    10.1109/ICPCI.2012.6486272
  • Filename
    6486272