• DocumentCode
    226436
  • Title

    Multiperson decision making with different preference representation structures: A selection process based on prospect theory

  • Author

    Yucheng Dong ; Nan Luo ; Hengjie Zhang

  • Author_Institution
    Sch. of Bus., Sichuan Univ., Chengdu, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    18
  • Lastpage
    24
  • Abstract
    In this study, we present a novel selection process to solve the multiperson decision making (MPDM) problems with different preference representation structures. This selection process is based on the prospect theory, which is one of the most influential psychological behavior theories, and seeks to maximize the satisfactory of all decision makers. Specifically, the individual selection methods associated with different preference structures are used to obtain individual preference orderings. Then, the preference-approval structures are used to determine the reference points of the prospect theory, according to the obtained individual preference orderings. Next, the gains and losses are calculated based on the prospect theory and the established reference points. Finally, the prospect values of the alternatives are obtained to rank the alternatives.
  • Keywords
    decision making; psychology; MPDM problems; multiperson decision making problems; preference orderings; preference representation structures; preference-approval structures; prospect theory; psychological behavior theories; reference points; selection process; Additives; Aggregates; Decision making; Educational institutions; Open wireless architecture; Pragmatics; Psychology; Multiperson decision making; Preference representation structures; Preference-approval structures; Prospect theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891543
  • Filename
    6891543