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A hybrid intelligent model for assessment of critical success factors in high-risk emergency system

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Abstract

High-risk emergency systems are emerging as a new generation technology to prevent disasters. Latest research points out that these systems could protect properties and lives in an efficient way. Limited to the sources, the feasible way to improve the performance of the system is to identify critical success factors (CSFs) and then optimize them. In this paper, a multi-criteria decision-making (MCDM) approach integrating Affinity Diagram, Decision Making Trial and Evaluation Laboratory (DEMATEL), fuzzy cognitive map (FCM) and Dempster–Shafer evidence theory (evidence theory) is proposed to identify critical success factors in high-risk emergency system. The DEMATEL and FCM are initially combined to tackle the decision-making problem in theory and practice. This model has ability to fuse technical, economic, political and social attributes. The proposed method is applied to select CSFs for Chongqing city.

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Acknowledgements

The authors are grateful to anonymous reviewers for their useful comments and suggestions on improving this paper.

Funding

The work is partially supported by National Natural Science Foundation of China (Grant Nos. 61573290, 61503237).

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  1. Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Yuzhen Han & Yong Deng

  2. School of Computer and Information Science, Southwest University, Chongqing, 400715, China

    Yuzhen Han & Yong Deng

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  1. Yuzhen Han
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Han, Y., Deng, Y. A hybrid intelligent model for assessment of critical success factors in high-risk emergency system. J Ambient Intell Human Comput 9, 1933–1953 (2018). https://doi.org/10.1007/s12652-018-0882-4

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