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    ARTICLE

    Dynamic Multi-Attribute Decision-Making Method with Double Reference Points and Its Application

    Haoran Huang1, Qinyong Lin2, Weitong Chen3, Kai Fang4, Huazhou Chen5, Ken Cai2,*

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1303-1320, 2021, DOI:10.32604/cmc.2021.016163

    Abstract To better reflect the psychological behavior characteristics of loss aversion, this paper builds a double reference point decision making method for dynamic multi-attribute decision-making (DMADM) problem, taking bottom-line and target as reference pints. First, the gain/loss function is given, and the state is divided according to the relationship between the gain/loss value and the reference point. Second, the attitude function is constructed based on the results of state division to establish the utility function. Third, the comprehensive utility value is calculated as the basis for alternatives classification and ranking. Finally, the new method is used to evaluate the development level… More >

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