• DocumentCode
    477533
  • Title

    Research on Consistent Measurement of Uncertainty Based on Entropy

  • Author

    Tian, Zunhua ; Zhao, Long ; Jia, Yan

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Nat. Univ. of Defense Technol., Changsha
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    684
  • Lastpage
    687
  • Abstract
    Uncertainty is an essential characteristic of intelligence. It has various types and usually each type can be measured in a different way. Thus, it is not helpful for thinking and processing as a whole. In this paper, based on entropy, we discuss the measurement of four common types of uncertainty: randomness, fuzziness, contradiction and dynamic. We present the concept of uncertain entropy and analyze the qualities of the concept basically. Having the uncertain entropy, it is possible that different types of uncertainty can be represented, processed and applied uniformly.
  • Keywords
    entropy; uncertain systems; consistent measurement; information theory; uncertain entropy; Automation; Clouds; Computer science; Educational institutions; Entropy; Equations; Extraterrestrial measurements; Measurement uncertainty; Random variables; Space heating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.278
  • Filename
    4659574