An improved three-way decision model based on prospect theory

结果(博弈论) 最优决策 构造(python库) 决策场理论 理性 计算机科学 偏爱 期望效用假设 决策分析 价值(数学) 决策论 决策模型 商业决策图 决策工程 人工智能 数理经济学 前景理论 决策问题 决策规则 经济 决策树 微观经济学 机器学习 算法 程序设计语言 法学 政治学
作者
Yihua Zhong,Yanhua Li,Yang Yang,Tong Li,Yanlin Jia
出处
期刊:International Journal of Approximate Reasoning [Elsevier BV]
卷期号:142: 109-129 被引量:9
标识
DOI:10.1016/j.ijar.2021.11.011
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.
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