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Smart emergency multi-attribute decision-making for typhoon response based on a hybrid intuitionistic fuzzy approach
Sergey Gorbachev1, Evgeniya Gerasimenko2, Abhishek Dixit3
1School of Mathematics and Big Data, Chongqing University of Education, Chongqing, 400065, China. gorbachev@cque.edu.cn.
Climate change necessitates better urban planning for human mobility during disasters. A new hybrid intuitionistic fuzzy method helps determine the best evacuation strategy under uncertainty, recommending preparedness.
Area of Science:
- Environmental Science
- Disaster Management
- Decision Science
Background:
- Global climate crisis drives economic damage and mass migration due to environmental disasters.
- Existing emergency evacuation research inadequately addresses fuzzy and uncertain conditions inherent in disaster modeling.
- Intuitionistic fuzzy logic offers a framework for expert hesitation in evaluating evacuation criteria.
Purpose of the Study:
- To develop a hybrid intuitionistic fuzzy method for optimizing evacuation strategies in uncertain environments.
- To address the need for effective human mobility strategies amid climate-induced disasters.
- To enhance urban sustainability and preparedness for climate-related emergencies.
Main Methods:
- Developed a hybrid intuitionistic fuzzy approach to model evacuation necessity.
- Applied the method to Jiangxi Province, China, during Typhoon Maria.
- Evaluated evacuation necessity based on seven criteria with five response alternatives.
Main Results:
- The proposed method identified 'alertness' (preparedness for evacuation) as the most desirable strategy for Typhoon Maria.
- The hybrid intuitionistic fuzzy method demonstrated superior performance compared to other existing intuitionistic fuzzy approaches.
- Quantified evacuation necessity under uncertain, fuzzy conditions.
Conclusions:
- The hybrid intuitionistic fuzzy method effectively determines optimal evacuation strategies in uncertain environments.
- Preparedness ('alertness') is a critical human mobility strategy for climate-related disasters.
- The approach enhances urban sustainability and decision-making in disaster preparedness.
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