• DocumentCode
    3302378
  • Title

    Inclusion measure and its use in measuring similarity and distance measure between hesitant fuzzy sets

  • Author

    Shu Yun Yang ; Hong Ying Zhang ; Zhi Wei Yue

  • Author_Institution
    Sch. of Math. & Stat., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2013
  • fDate
    13-15 Dec. 2013
  • Firstpage
    386
  • Lastpage
    390
  • Abstract
    In this paper, we propose a variety of inclusion measures for hesitant fuzzy sets (HFSs), based on which the corresponding similarity and distance measures can be obtained. First, we investigate the hybrid monotonic inclusion measures between two hesitant fuzzy elements (HFEs) and present their properties. Second, the hybrid monotonic inclusion measure between two HFSs are proposed. Furthermore, similarity measures and distance are postulated by inclusion measures. Last, numerical examples are provided to illustrate the inclusion measures, similarity measures and distance.
  • Keywords
    fuzzy set theory; HFS; distance measure; hesitant fuzzy elements; hesitant fuzzy sets; hybrid monotonic inclusion measures; similarity measure; Cognition; Decision making; Educational institutions; Fuzzy sets; Hafnium; Intelligent systems; Measurement uncertainty; Distance; Hesitant fuzzy set; Inclusion measure; Similarity measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GrC.2013.6740441
  • Filename
    6740441