• DocumentCode
    2365336
  • Title

    Measuring fuzziness: An evaluation problem

  • Author

    De Baets, B. ; Kerre, E. ; Nasuto, S.

  • Author_Institution
    Dept. of Appl. Math. & Comput. Sci., Ghent Univ., Belgium
  • fYear
    1993
  • fDate
    25-28 Apr 1993
  • Firstpage
    65
  • Lastpage
    72
  • Abstract
    The measurement of fuzziness is treated as an evaluation problem. Fuzziness measures can be seen as evaluation mappings, more specifically as approximate solutions of this evaluation problem, satisfying some additional boundary conditions. In this way it is also possible to describe fuzziness in a qualitative manner. A general framework is created in which the most important classes of fuzziness measures, i.e., entropy measures and energy measures, easily fit. The essence of measuring fuzziness is thus reduced to finding a quasi or partial ordering that compares the different alternatives according to some aspect of their fuzziness. Special attention is paid to the quasi or partial orderings underlying entropy measures. The partial ordering of A. De Luca and S. Termini (1979) and some improved versions of it are discussed. The approach of E. Czogala et al. (1982) to energy measures is also discussed and extended
  • Keywords
    entropy; fuzzy set theory; uncertainty handling; approximate solutions; boundary conditions; energy measures; entropy measures; evaluation mappings; evaluation problem; fuzziness measures; general framework; partial ordering; qualitative manner; Computer science; Energy measurement; Entropy; Fuzzy sets; Mathematics; Particle measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-3850-8
  • Type

    conf

  • DOI
    10.1109/ISUMA.1993.366789
  • Filename
    366789