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9 a.m. - 7 p.m.
Phone: (843) 766-6635
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Wando Mount Pleasant Library
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Miss Jane's Building (Edisto Library Temporary Location)
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A hybrid model based on PROMETHEE and PLTSs for the assessment of public participation in community meteorological disaster prevention and mitigation.
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- Author(s): Li, Chenliang1 (AUTHOR); Yu, Xiaobing1,2 (AUTHOR)
- Source:
Journal of Intelligent & Fuzzy Systems. 2021, Vol. 40 Issue 5, p9583-9595. 13p.- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: Communities are the fundamental units of society, and community-based disaster management is the foundation of societal disaster management systems. It is important to implement disaster prevention and mobilize all residents in the community to participate in preparedness activities. However, people's attitudes and understanding of these issues are often ambiguous because meteorological disaster prevention and mitigation (MDPM) is complex. A hybrid model based on probabilistic term sets (PLTSs) and PROMETHEE method is put forward to solve this problem. To solve the problem from the view of big data, the experimental data are from Baidu's disaster prevention and mitigation questionnaires. The data of these questionnaires are aggregated through PLTSs. Then, the PROMETHEE method is used to learn about the public's understanding of community meteorological disaster prevention and mitigation (CMDPM) information and their willingness to participate in activities. The results indicate that communities in East, Northwest, Southwest, and North China have a higher willingness to join volunteer services. The proposed model makes it more convenient for decision-makers (DMs) to describe problems by PLTSs and is more appropriate for individuals' understanding and communication. [ABSTRACT FROM AUTHOR]
- Abstract: 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.)
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