• DocumentCode
    293499
  • Title

    Fuzziness of incompleteness and information diffusion principle

  • Author

    Chongfu, Huang

  • Author_Institution
    Management School, Beijing Univ. of Aeronaut. & Astronaut., China
  • Volume
    3
  • fYear
    1995
  • fDate
    20-24 Mar 1995
  • Firstpage
    1605
  • Abstract
    There are probably as many definitions of fuzzy uncertainty as there are books on the subject. Many of these definitions are relatively experiential or abstract. Fuzzy uncertainty is actually a very complex concept-much more complex than any experiential definition would lead us to believe. This paper aims to state the essentials of fuzziness of incompleteness which is far from the subjective fuzziness that has being studied in many literatures. In this paper, the principle of information diffusion is introduced to deal with incomplete fuzzy information and a normal diffusion method is discussed. It is show that information diffusion methods have obvious advantages and application prospects
  • Keywords
    fuzzy set theory; fuzzy systems; information theory; uncertainty handling; fuzziness; fuzzy systems; fuzzy uncertainty; incompleteness; information diffusion; information distribution; normal diffusion; Books; Data engineering; Extraterrestrial measurements; Fuzzy sets; Fuzzy systems; Humans; Information analysis; Testing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
  • Conference_Location
    Yokohama
  • Print_ISBN
    0-7803-2461-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1995.409892
  • Filename
    409892