NDLI: A FTA-Based Method for Risk Decision Making in Emergency Response

Content Provider	IEEE Xplore Digital Library
Author	Yang Liu Yuan Yuan Zhi-Ping Fan
Copyright Year	2011
Abstract	Emergency decision making problem is a crucial issue of emergency management and is a valuable academic research topic. Although some research has been conducted, there has been no attempt to solve emergency decision making problems on the basis of analyzing the influence of alternatives on the development and evolvement of emergency. In this paper, a novel FTA-based method is proposed for risk decision making in emergency response. In the method, firstly, a fault tree of the undesirable state of emergency is constructed, by which the influence of alternatives on the emergency can be analyzed. On this basis, the probabilities that the undesirable state will occur given that different alternatives are chosen are estimated. Then, according to the determined probabilities, the overall ranking values of alternatives are calculated based on multiple criteria risk decision making (MCRDM). Furthermore, a ranking of alternatives is determined according to the overall ranking values. Finally, a practical example is used to illustrate the feasibility and validity of the proposed method. The proposed method overcomes the limitations of existing methods that the influence of alternatives on emergency is not considered, and enriches the theories and methods for emergency decision making.
Starting Page	608
Ending Page	612
File Size	301739
Page Count	5
File Format	PDF
ISBN	9781424497126
DOI	10.1109/CSO.2011.30
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiple criteria risk decision making (MCRDM) Ranking Decision making Emergency response Probability Emergency services Frequency measurement Floods Fault tree analysis (FTA) Fault trees Logistics
Content Type	Text
Resource Type	Article

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