• DocumentCode
    3093395
  • Title

    Entropy for Vague sets based on convex simplex

  • Author

    Wei Bo ; Peng Jun-Huan ; Yang Hong-Lei

  • Author_Institution
    Sch. of Land Sci. & Technol., China Univ. of Geosci. (Beijing), Beijing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    11-13 March 2011
  • Firstpage
    209
  • Lastpage
    213
  • Abstract
    To the drawbacks in the existed methods for constructing the entropy of Vague sets, a method on the basis of convex simplex is proposed. By use of a corresponding relation between Vague sets and 3 triangles within a same plane of a convex simplex, a geometrical expression for Vague sets is presented, and thus the quantities of the degree of true membership, false membership and unknown for Vague sets and their contrastive relations between them are expressed intuitively and visually. Then an entropy for Vague sets is proposed and the corresponding geometrical interpretation is given. Examples show that, one, the entropy of Vague sets is the same as that of Fuzzy sets if Vague sets turn into Fuzzy sets; two, the entropy of Vague sets is monotone in subsections if the degree of unknown is the same between Vague sets; three, the entropy for Vague sets has extremum property and symmetry property if the degree of true membership is equal the degree of false membership. The proposed method solves the problems in the existed methods for constructing the entropy of Vague sets, and is a correct, reasonable and effective method.
  • Keywords
    entropy; fuzzy set theory; 3 triangles; convex simplex; entropy; extremum property; false membership degree; fuzzy sets; symmetry property; true membership degree; vague sets; Artificial intelligence; Entropy; Fuzzy sets; Geometry; Hyperspectral sensors; Three dimensional displays; Uncertainty; Vague sets; convex simplex; the degree of false membership; the degree of true membership; the entropy for Vague sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development (ICCRD), 2011 3rd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-839-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2011.5763897
  • Filename
    5763897