Title :
A Risk Decision Method for Emergency Response Based on Cumulative Prospect Theory
Author :
Liu, Yang ; Fan, Zhi-ping ; Chen, Fa-Dong
Author_Institution :
Sch. of Bus. Adm., Northeastern Univ., Shenyang, China
Abstract :
Emergency decision making problem is a valuable research topic with many practical backgrounds. Although some research has been conducted, the behavior of DMs and the dependence among criteria are seldom considered in emergency decision making analysis. In this paper, a risk decision method for emergency response based on cumulative prospect theory (CPT) is proposed by extending the CPT to dependent criteria. In the method, firstly, a value function with two variables is constructed by extending the value function of CPT to two dependent criteria. Then, the weighting function of CPT is used to determine the weights of possible results concerning each alternative. Thus, prospect values of alternatives are calculated by aggregating the values and weights of possible results. Furthermore, overall prospect values are obtained by aggregating the prospect values and costs of alternatives. Moreover, a ranking of alternatives is determined according to the overall prospect values. Finally, a potential application is used to illustrate the feasibility and validity of the proposed method. Introducing the behavior of DMs and the dependence among criteria into emergency decision making analysis would make the results of decision analysis more consistent with the institution of DMs, and will enhance the application value of the proposed method.
Keywords :
accidents; costing; decision making; disasters; emergency services; risk analysis; alternative cost; cumulative prospect theory; dependent criteria; emergency decision making problem; emergency response; risk decision method; value function; Decision making; Delta modulation; Emergency services; Floods; Lakes; Loss measurement; Uncertainty; Cumulative prospect theory (CPT); Dependent criteria; Emergency response; Ranking;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
DOI :
10.1109/CSO.2011.54