The Determination and Elimination of Decision Makers' Hidden Inherent Preference in Probabilistic Linguistic Group Decision-Making

被引:1
作者
Xu, Wei [1 ]
Mao, Junjun [1 ,2 ]
Zhu, Mengmeng [1 ]
机构
[1] Anhui Univ, Sch Math Sci, Hefei, Peoples R China
[2] Anhui Univ, Key Lab Intelligent Comp & Signal Proc, Minist Educ, Hefei, Peoples R China
关键词
Hidden inherent factors; Preference determination; Group decision-making; Probabilistic linguistic model; Double carbon economy; TERM SETS; FUZZY NUMBERS; MODEL; SELECTION; ENTROPY;
D O I
10.1007/s10726-023-09833-1
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In an increasingly complex decision-making environment, the decision information we obtain contains the decision makers' professional cognition, psychological preference, risk attitude and other hidden uncertainty factors. These hidden inherent factors may cause evaluations being better or worse than their actual level. In order to reduce the bias brought by these factors, they should be identified and eliminated prior to decision making. Hence, a preference determination model is proposed and a risk model is established to eliminate these factors by analyzing the possible impact. Moreover, a more practical probabilistic linguistic model-2-tuple probabilistic linguistic term set is proposed and its related concepts are defined. Furthermore, an integrated decision-making method is provided. Finally, considering the application background of double carbon economy, an example by selecting the best design of electric vehicles charging station is conducted to illustrate the proposed method, and the feasibility and effectiveness are verified.
引用
收藏
页码:1025 / 1060
页数:36
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