• DocumentCode
    620350
  • Title

    A new similarity measure method for vague sets

  • Author

    Gang Xie ; Jiangbo Yang ; Yun Li

  • Author_Institution
    Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    3634
  • Lastpage
    3638
  • Abstract
    As a new mathematical method for processing uncertain information, some similarity measure methods for vague sets have been put forward by many scholars. But because of the lack of the necessary factors and the low-strictness of the properties, there always exists deficiencies for the existing methods. On the basis of the existing similarity measure methods, stricter properties and a new measure method are presented. And the 4 kinds of necessary factors are included in the new measure method formula. It is found form the proof based on the properties and comparative analysis that the method in this paper is able to overcome the deficiencies of the existing method.
  • Keywords
    fuzzy set theory; mathematical method; measure method formula; proof form; similarity measure methods; uncertain information processing; vague sets; Algorithm design and analysis; Computers; Educational institutions; Fuzzy sets; Geometry; Measurement uncertainty; Uncertainty; Fuzzy sets; Similarity Measure; Vague sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561579
  • Filename
    6561579