• DocumentCode
    1711078
  • Title

    Fuzzy entropy: a brief survey

  • Author

    Al-Sharhan, S. ; Karray, F. ; Gueaieb, W. ; Basir, O.

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • Volume
    3
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1135
  • Lastpage
    1139
  • Abstract
    This paper presents a survey about different types of fuzzy information measures. A number of schemes have been proposed to combine the fuzzy set theory and its application to the entropy concept as a fuzzy information measurements. The entropy concept, as a relative degree of randomness, has been utilized to measure the fuzziness in a fuzzy set or system. However, a major difference exists between the classical Shannon entropy and the fuzzy entropy. In fact while the later deals with vagueness and ambiguous uncertainties, the former tackles probabilistic uncertainties (randomness)
  • Keywords
    entropy; fuzzy set theory; information theory; Shannon entropy; fuzziness; fuzzy entropy; fuzzy information measures; fuzzy set theory; randomness; vagueness; Decision making; Design engineering; Engines; Entropy; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Information theory; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1008855
  • Filename
    1008855