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

机译:基于前景理论的区间动态参考点决策方法

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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. (C) 2015 Elsevier Ltd. All rights reserved.
机译:紧急情况或紧急情况,例如恐怖袭击和自然灾害,通常需要决策者(DM)做出重要决策。紧急决策(EDM)问题已成为近年来非常活跃的研究领域。现有的研究主要集中在紧急情况下的信息不足或信息不完整,以及选择理想的应急替代方案,而忽略了紧急情况下糖尿病患者的心理行为。很少有研究考虑DM的心理行为,尽管有些研究关注于突发事件的动态特征以及在风险和不确定性下有限的DM判断。受这些问题的影响,本研究提出了一种基于前景理论的电火花加工间隔动态参考点方法。与理想解决方案相似的顺序偏好技术(TOPSIS)是一种流行的决策技术,因为决策者在风险和不确定性中总是局限在理性中,他们的心理行为在EDM中起着重要作用。但是,现有的TOPSIS方法很少涉及此问题。基于这样一个问题,本研究提出了一种具有区间参考点的TOPSIS方法,该方法考虑了DM的心理行为。给出了两个例子来说明所提出的方法在现实世界中解决EDM问题的可行性和有效性。基于示例中替代方案的最终排名,我们的每种方法均会验证彼此并匹配实际的EDM。 (C)2015 Elsevier Ltd.保留所有权利。

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