Method for large group emergency decision making with complex preferences based on emergency similarity and interval consistency

Xuanhua Xu, Yanxia Huang () and Ke Chen
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Xuanhua Xu: Business School of Central South University
Yanxia Huang: Business School of Central South University
Ke Chen: Business School of Central South University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2019, vol. 97, issue 1, No 3, 45-64

Abstract: Abstract The evolution of emergency scenarios is usually hard to predict. To address this problem, a method for determining the severity of emergencies is proposed based on a decision paradigm obtained from the analysis of similar cases. First, the standardized indicators in the base case are used to input the target event so as to filter out some similar events as references. The severity of reference events is used to acquire the severity of the target event. When the target event evolves into an event whose average severity exceeds that of a major emergency, large group emergency decision making is initiated. Second, based on the fact that there is consistency interval existing in a hesitant fuzzy preference matrix, a method to measure the rationality of experts and determine their weights using an interval consistency composed of the average consistency and standard deviation indices is proposed in this paper. Finally, an example is given to illustrate the effectiveness of the proposed method.

Keywords: Emergency similarity; Interval consistency; Complex preference; Large group; Emergency decision (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11069-019-03624-1

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