An improved three-way decision model based on prospect theory

被引:23
作者
Zhong, Yihua [1 ]
Li, Yanhua [1 ]
Yang, Yang [2 ]
Li, Tong [1 ]
Jia, Yanlin [1 ]
机构
[1] Southwest Petr Univ, Sch Sci, Chengdu 610500, Sichuan, Peoples R China
[2] Baicheng Secondary Vocat Tech Sch, Aksu 842300, Xinjiang, Peoples R China
关键词
Three-way decision; Prospect theory; Multi-objective optimization; Time outcome; Monetary outcome; Preference coefficients; ROUGH SETS; RISK; TIME; GRANULATION; CONSENSUS; CONTEXTS;
D O I
10.1016/j.ijar.2021.11.011
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In three-way decision, how to describe the risk attitudes of decision-makers is an important issue. The prospect theory is widely used to reflect decision-makers' risk attitudes and the decision rules are based on the maximum prospect value. However, the previous three-way decision models based on prospect theory neglected time outcome or they included time outcome in monetary outcome in decision process. In fact, in some cases, time outcome is a more important element in decision making, and without considering it directly may weaken the rationality of decision results. To address these problems, we construct an improved three-way decision model based on prospect theory, which simultaneously and directly considers time outcome and monetary outcome. Specially, this model is a multi-objective optimization model. Firstly, prospect theory is used to describe decision-makers' risk attitudes toward monetary gains and losses as well as time gains and losses. Secondly, we construct a multi-objective optimization model and introduce preference coefficients to transform it into a single objective optimization model, which is based on the maximum comprehensive prospect value. Further, the existence and uniqueness of thresholds are proven, and the decision rules are given. Finally, an illustrative example and some comparative analyses are presented, which validate the rationality and superiority of our improved model. (C) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:109 / 129
页数:21
相关论文
共 53 条
[1]   Multi-granular mining for boundary regions in three-way decision theory [J].
Chen, Jie ;
Zhang, Yan-ping ;
Zhao, Shu .
KNOWLEDGE-BASED SYSTEMS, 2016, 91 :287-292
[2]   A dynamic approach for emergency decision making based on prospect theory with interval-valued Pythagorean fuzzy linguistic variables [J].
Ding, Xue-Feng ;
Liu, Hu-Chen ;
Shi, Hua .
COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 131 :57-65
[3]   A method for product personalized design based on prospect theory improved with interval reference [J].
Dou, Runliang ;
Lin, Dandan ;
Nan, Guofang ;
Lei, Siyuan .
COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 125 :708-719
[4]   Time-based versus money-based decision making under risk: An experimental investigation [J].
Festjens, Anouk ;
Bruyneel, Sabrina ;
Diecidue, Enrico ;
Dewitte, Siegfried .
JOURNAL OF ECONOMIC PSYCHOLOGY, 2015, 50 :52-72
[5]  
Gomes L. F. A. M., 1991, Foundations of Computing and Decision Sciences, V16, P113
[6]   Three-way decisions space and three-way decisions [J].
Hu, Bao Qing .
INFORMATION SCIENCES, 2014, 281 :21-52
[7]   Structured approximations as a basis for three-way decisions in rough set theory [J].
Hu, Mengjun ;
Yao, Yiyu .
KNOWLEDGE-BASED SYSTEMS, 2019, 165 :92-109
[8]   Inclusion measure-based multi-granulation intuitionistic fuzzy decision-theoretic rough sets and their application to ISSA [J].
Huang, Bing ;
Li, Huaxiong ;
Feng, Guofu ;
Zhuang, Yuliang .
KNOWLEDGE-BASED SYSTEMS, 2017, 138 :220-231
[9]   A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model [J].
Jia, Xiuyi ;
Li, Weiwei ;
Shang, Lin .
INFORMATION SCIENCES, 2019, 485 (248-262) :248-262
[10]   Dynamic commuter departure time choice under uncertainty [J].
Jou, Rong-Chang ;
Kitamura, Ryuichi ;
Weng, Mei-Chuan ;
Chen, Chih-Cheng .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2008, 42 (05) :774-783