• DocumentCode
    1821861
  • Title

    A Novel Interval Grey Number and Entropy-based Solution for Multiple-Criteria Group Decision Making Problem

  • Author

    Kang, Hyung Ku ; Kim, Dae Gun ; Jeong, Hwi Woon ; Park, Geon Yong ; Youn, Hee Yong

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    349
  • Lastpage
    356
  • Abstract
    Owing to the popularization of smart mobile devices, various services are emerging which require some involvement and collaboration of not only individuals but also a group of people. In this situation the multiple-criteria group decision making (MCDM) problem often occurs. The classical MCDM approaches are quite limited to be applied to real life problems because of incompleteness and uncertainty of the target problem. This paper thus extends a representative MCDM solution, the technique ordered preference by similarity to the ideal solution (TOPSIS), by employing the grey relation model with interval grey number and entropy. A case study is given to demonstrate the effectiveness of the proposed scheme, and a comparison with TOPSIS is shown to display its efficiency.
  • Keywords
    decision making; entropy; grey systems; operations research; smart phones; statistical analysis; MCDM problem; TOPSIS; entropy-based solution; grey relation model; interval grey number; multiple-criteria group decision making problem; smart mobile devices; target problem; technique ordered preference by similarity to the ideal solution; Decision making; Entropy; Mobile handsets; Numerical models; Pragmatics; Uncertainty; Vectors; Entropy; Grey relation model; Grey theory; Interval grey number; MCDM; TOPSIS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4673-3084-8
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2012.93
  • Filename
    6332019