A prospect theory-based interval dynamic reference point method for emergency decision making

托普西斯 前景理论 计算机科学 区间(图论) 运筹学 偏爱 风险分析(工程) 光学(聚焦) 领域(数学) 点(几何) 理想(伦理) 决策支持系统 管理科学 人工智能 数学 统计 几何学 纯数学 经济 哲学 物理 光学 组合数学 财务 认识论 医学
作者
Liang Wang,Zixin Zhang,Ying‐Ming Wang
出处
期刊:Expert Systems With Applications [Elsevier]
卷期号:42 (23): 9379-9388 被引量:108
标识
DOI:10.1016/j.eswa.2015.07.056
摘要

Urgent or critical situations, such as terrorist attacks and natural disasters, often require decision makers (DMs) to take crucial decisions. Emergency decision making (EDM) problems have become a very active research field in recent years. The existing studies focus mainly on the information inadequacy or incomplete information in emergencies, and selecting ideal emergency alternatives, neglecting the psychological behavior of DMs under emergencies. Few studies consider a DM's psychological behavior, although there is some focus on the dynamic features of emergency events and limited DM judgments under risk and uncertainty. Motivated by such problems, this study proposes a prospect theory-based interval dynamic reference point method for EDM. The technique for order preference by similarity to ideal solution (TOPSIS) method is a popular decision technique, as decision makers are always bounded rational under risk and uncertainty and their psychological behavior plays an important role in EDM. However, the existing TOPSIS methods are seldom concerned with this issue. Based on such a problem, this study proposes a TOPSIS method with an interval reference point, which considers the DM's psychological behavior. Two examples are presented to illustrate the feasibility and validity of the proposed methods for solving EDM problems in the real world. Based on the final rankings of alternatives in the examples, each of our methods validates the other and matches the actual EDM.
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