A prospect theory-based method for fusing the individual preference-approval structures in group decision making

被引:41
作者
Liang, Haiming [1 ,2 ]
Xiong, Wang [1 ]
Dong, Yucheng [1 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu 610065, Sichuan, Peoples R China
[2] Xidian Univ, Sch Econ & Management, Xian 710071, Shaanxi, Peoples R China
关键词
Group decision making; Prospect theory; Preference-approval structure; Weights; Interval; PARAMETER-FREE ELICITATION; CONSENSUS MODELS; REPRESENTATION; COMPATIBILITY; ORDERINGS; COST;
D O I
10.1016/j.cie.2018.01.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Preference-approval structure is a typical preference structure that can not only reflect decision makers' preference orderings for alternatives but also distinguish the satisfied alternatives from the dissatisfied alternatives. The aim of this paper is to propose a method to fuse the individual preference-approval structures in group decision making (GDM), in which the weight of decision makers can be represented as the exact number (i.e., exact weight), the interval number (i.e., interval weight) and the rankings (i.e., ranking weight). In the method, based on prospect theory, the prospect values of all the alternatives associated with each decision maker are calculated. In addition, the expected values of the weights of decision makers are calculated. Then, the relative-position indicators of the alternatives are determined. In addition, two algorithms are proposed to determine the reading sequences of the alternatives. Based on the reading sequences, an algorithm is proposed to construct the fused preference-approval structure. Next, some desirable properties of the proposed method are discussed. Finally, an example is given to illustrate the use of the proposed method, and the versatility, consistency, efficiency and computational complexity of the proposed method are discussed.
引用
收藏
页码:237 / 248
页数:12
相关论文
共 50 条
[21]   Extension of the TOPSIS method based on prospect theory and trapezoidal intuitionistic fuzzy numbers for group decision making [J].
Xihua Li ;
Xiaohong Chen .
Journal of Systems Science and Systems Engineering, 2014, 23 :231-247
[22]   EXTENSION OF THE TOPSIS METHOD BASED ON PROSPECT THEORY AND TRAPEZOIDAL INTUITIONISTIC FUZZY NUMBERS FOR GROUP DECISION MAKING [J].
Xihua LI ;
Xiaohong CHEN .
Journal of Systems Science and Systems Engineering, 2014, 23 (02) :231-247
[23]   A prospect theory-based group decision approach considering consensus for portfolio selection with hesitant fuzzy information [J].
Zhou, Xiaoyang ;
Wang, Liqin ;
Liao, Huchang ;
Wang, Shouyang ;
Lev, Benjamin ;
Fujita, Hamido .
KNOWLEDGE-BASED SYSTEMS, 2019, 168 :28-38
[24]   Multiple attribute decision-making based on a prospect theory-based TOPSIS method for venture capital selection with complex information [J].
Yanmin Zhu ;
Jiaxing Gu ;
Wendi Chen ;
Dandan Luo ;
Shouzhen Zeng .
Granular Computing, 2023, 8 :1751-1766
[25]   Multiple attribute decision-making based on a prospect theory-based TOPSIS method for venture capital selection with complex information [J].
Zhu, Yanmin ;
Gu, Jiaxing ;
Chen, Wendi ;
Luo, Dandan ;
Zeng, Shouzhen .
GRANULAR COMPUTING, 2023, 8 (06) :1751-1766
[26]   Prospect theory-based group decision-making with stochastic uncertainty and 2-tuple aspirations under linguistic assessments [J].
Wang, Zelin ;
Wang, Yingming .
INFORMATION FUSION, 2020, 56 :81-92
[27]   Prospect theory based method for heterogeneous group decision making with hybrid truth degrees of alternative comparisons [J].
Wan, Shu-Ping ;
Zou, Wenchang ;
Dong, Jiu-Ying .
COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 141
[28]   A decision-making method for outpatient appointment based on prospect theory [J].
Cao, Ping-Ping ;
Li, Ming-Yang ;
Li, Xu .
Dongbei Daxue Xuebao/Journal of Northeastern University, 2014, 35 (12) :1801-1804
[29]   Prospect Theory Based Multi-criteria Decision Making Method [J].
Hu Jun-hua ;
Zhou Yi-wen .
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, :2930-2934
[30]   Group decision making based on incomplete intuitionistic multiplicative preference relations [J].
Jiang, Yuan ;
Xu, Zeshui ;
Yu, Xiaohan .
INFORMATION SCIENCES, 2015, 295 :33-52