Research on Community Resilience Improvement Path Based on Fuzzy Cognitive Map

DOI

10.2991/978-94-6463-194-4_44How to use a DOI?

Keywords

Community resilience; DEMATEL; Maximum average difference entropy method; fuzzy cognitive map

ABSTRACT

It has become more important to build more inclusive, flexible and resilient communities to effective disaster prevention and mitigation, as global disaster risks increase. Based on the definition of the concept of community resilience, this paper intends to analyze the influencing factors of community resilience systematically, to screen the key paths for community resilience improvement by method DEMATEL and the maximum average difference entropy, then the fuzzy cognitive graph model will be used to simulate and analyze the effective improvement path of community resilience. Research shows that: the important influencing factors of community resilience can be divided into three categories: input factors, mediation factors and output factors, according to their nonlinear relationship. And input factors are the core factors that should be taken seriously. Based on input factors, four key paths that affect the improvement of community resilience are screened out. Finally, the fuzzy cognitive graph model can be used to further determine the path that can effectively improve community resilience. Scientific understanding of the key influencing factors and development paths of community resilience under the new risk situation is of great practical significance for accurately improving the level of community resilience and protecting the safety of residents' lives and properties.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Weijing LIANG
AU  - Ye XUE
AU  - Ying LI
AU  - Hao Dong WU
AU  - Jing XU
PY  - 2023
DA  - 2023/07/21
TI  - Research on Community Resilience Improvement Path Based on Fuzzy Cognitive Map
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 313
EP  - 322
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_44
DO  - 10.2991/978-94-6463-194-4_44
ID  - LIANG2023
ER  -