Evaluation of emergency management capability of urban community based on entropy weight and multi-layer fuzzy

Abstract

At present, various public emergencies occur frequently around the world, and the world has entered the stage of a “high-risk society” Urban community as the carrier of all kinds of public emergencies, its role has become increasingly prominent and become the focus of the current research, but in the urban community emergency management capacity evaluation system, the related studies are still less To more effectively identify the key internal and external factors that affect the emergency management ability of the urban community, and evaluate scientifically and effectively, on the basis of the existing studies, the evaluation index system of community emergency management capability was established according to the emergency management cycle theory In view of the complexity and fuzziness of the emergency management capability of the urban community, a multi-layer fuzzy comprehensive evaluation model based on entropy weight was established, and the emergency management capability evaluation of community was carried out under the background of the public emergency event of COVID-19 epidemic The results show that the evaluation results and improvement suggestions of the multi-layer fuzzy comprehensive evaluation model based on entropy weight are consistent with the actual situation, indicating that the index system and the selected method are reasonable and effective This study provides a new decision-making idea and method for the evaluation of urban community emergency management capability, and has high application value [ABSTRACT FROM AUTHOR] Copyright of Journal of Intelligent & Fuzzy Systems is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder s express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )