Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74724
Title: A dynamic reference point method for emergency response under hesitant probabilistic fuzzy environment
Authors: Gao, J 
Xu, Z
Liao, H
Keywords: Dynamic reference point (DRP) method
Emergency decision-making
Expectation level
Hesitant probabilistic fuzzy number (HPFN)
Hesitant probabilistic fuzzy variable (HPFV)
Issue Date: 2017
Publisher: Springer Berlin Heidelberg
Source: International journal of fuzzy systems, 2017, v. 19, no. 5, p. 1261-1278 How to cite?
Journal: International journal of fuzzy systems 
Abstract: According to the characteristics of emergency decision-making in crisis management, this paper proposes a dynamic decision-making method using the hesitant probabilistic fuzzy set to deal with the inadequate information, uncertainty and dynamic trends. This method is suitable for emergency decision-making as it provides supports for the dynamic and evolutionary characteristics of emergency responses and the uncertain probability about external environment is also considered. In order to make a continuous adjustment with the development of situations, we give a definition of the expectation level, based on which the dynamic reference point method is proposed to obtain the optimal emergency response plan under the hesitant probabilistic fuzzy environment. We also analyze the probability of different situations that may occur in the process of emergency decision-making and provide an algorithm for solving this problem. Finally, a practical case of hazardous goods leakage pollution accident is given to illustrate our method, and then, the optimal decision alternative chain is obtained.
URI: http://hdl.handle.net/10397/74724
ISSN: 1562-2479
EISSN: 2199-3211
DOI: 10.1007/s40815-017-0311-4
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