• DocumentCode
    2562387
  • Title

    Normal technique for ascertaining nonmembership functions of Intuitionistic Fuzzy Sets

  • Author

    Yang, Lei ; Ji-Xue, Hua ; Hong-yan, Yin ; Lei Ying jie

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Air Force Eng. Univ., Sanyuan
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    2604
  • Lastpage
    2608
  • Abstract
    To the questions of ascertaining nonmembership functions of intuitionistic fuzzy sets (IFS), a normalization technique for ascertaining nonmembership functions of IFS is proposed. First, the definition of IFS and the conceptions of membership functions, nonmembership functions and intuitionistic index are introduced. The methods for ascertaining membership functions of IFSs by using the existing ones similar to fuzzy sets are elaborated. Then, calculating formula for ascertaining nonmembership functions of IFS and the conception of non-hesitancy degree are exposed and the technique gets into normalization. Moreover, the theorem of properties of non-hesitancy degree is given with the course of proof. Subsequently, calculating method for ascertaining nonmembership functions of IFS based on trichotomy is proposed. Finally, the validity and rationality of the proposed method is checked with an instance of index and parameters, i.e. flight altitude, of air-raid target recognition.
  • Keywords
    formal logic; fuzzy set theory; intuitionistic fuzzy sets; intuitionistic index; nonmembership functions; normalization technique; trichotomy; Educational institutions; Fuzzy control; Fuzzy sets; Statistics; Stochastic processes; Intuitionistic Fuzzy Sets; Non-hesitancy Degree; Nonmembership Functions; Normalization; Trichotomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597797
  • Filename
    4597797