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

A hybrid intelligent model for assessment of critical success factors in high-risk emergency system 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 Labora- tory (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. Keywords DEMATEL · Fuzzy cognitive map · Dempster–Shafer evidence theory · Critical success factors · High-risk emergency system · Multi-criteria decision making 1 Introduction Park et al. 2012). Cowing discussed tradeoffs between safety and productivity in critical engineering systems (Cowing Since the occurrence of nature disaster such as earthquakes, et al. 2004; Yin and Deng 2018). Rouvroye and Bliek pro- extreme climates and other environmental issues are becom- posed an approach for http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Ambient Intelligence and Humanized Computing Springer Journals

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

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Robotics and Automation; User Interfaces and Human Computer Interaction
ISSN
1868-5137
eISSN
1868-5145
D.O.I.
10.1007/s12652-018-0882-4
Publisher site
See Article on Publisher Site

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 Labora- tory (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. Keywords DEMATEL · Fuzzy cognitive map · Dempster–Shafer evidence theory · Critical success factors · High-risk emergency system · Multi-criteria decision making 1 Introduction Park et al. 2012). Cowing discussed tradeoffs between safety and productivity in critical engineering systems (Cowing Since the occurrence of nature disaster such as earthquakes, et al. 2004; Yin and Deng 2018). Rouvroye and Bliek pro- extreme climates and other environmental issues are becom- posed an approach for

Journal

Journal of Ambient Intelligence and Humanized ComputingSpringer Journals

Published: Jun 2, 2018

References

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