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Soft Computing

, Volume 22, Issue 22, pp 7479–7490 | Cite as

Large-group risk dynamic emergency decision method based on the dual influence of preference transfer and risk preference

  • Xuanhua Xu
  • Bin Pan
  • Yushan Yang
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Abstract

Decision-makers (DMs) usually encounter the problem of preference transfer when making decisions about emergencies in a complex environment. We propose a new method for dynamic emergency decision-making for large-group risk based on cumulative prospect theory (CPT). First, the preference judgment matrix is used to aggregate the DMs’ preferences in different event states. Second, because of the complexity of the number of decisions proposed by a large group, a clustering method is used to cluster the preferences of the decision-making group and obtain a number of different aggregations with corresponding weights. Then, given that the risk preferences of the DMs affect the decision result, CPT is used to calculate the overall outlook value for large-group decision-making. Finally, DMs need to adjust the preference judgment matrix according to changes in event states. After several stages of adjustment, the Markov chain for the current development state and the DMs’ preference transfer matrix are obtained. The optimal scheme for the current state is given as a combination of the preference transfer matrix and the overall outlook value for the large group. Using this method, DMs can obtain the best scheme for different states in advance and make an emergency plan to reduce the risk of preference transfer. A case study is used to illustrate the rationality and effectiveness of the proposed method.

Keywords

Large group DMs’ preference transfer Risk Emergency decision 

Notes

Acknowledgements

The authors would like to thank the editors and anonymous reviewers for their insightful comments and suggestions. This study was funded by the National Natural Science Foundation in China (Nos. 71671189, 71790615, 71431006), Innovation-driven Program of Central South University (2015CX010), Mobile E-business Collaborative Innovation Center of in Hunan Province and Key Laboratory of Hunan Province for mobile business intelligence, Key program for Financial Research Institute Foundation of Wenzhou University.

Compliance with ethical standards

Conflict of interest

We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled.

Ethical approval

This article does not contain any studies with animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Hunan University of CommerceChangshaChina
  2. 2.School of BusinessCentral South UniversityChangshaChina

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