Humanitarian Rescue Scheme Selection under the Covid-19 Crisis in China: Based on Group Decision-Making Method

Humanitarian rescue has become an important part of government emergency management in China. In order to select the optimal humanitarian rescue scheme accurately and in a timely manner in an emergency, reduce the harm of disasters to human life and health, and improve the government’s emergency man...

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Bibliographic Details
Published inSymmetry (Basel) Vol. 13; no. 4; p. 668
Main Authors Deng, Xiaotong, Kong, Zhaojun
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2021
Subjects
Coronaviruses
COVID-19
Decision making
Decision theory
Earthquakes
Emergencies
emergency group decision-making
Emergency management
Fuzzy sets
humanitarian rescue scheme
Humanitarianism
interval-valued intuitionistic fuzzy sets
Linguistics
Medical research
Methods
Preferences
weights
China
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Summary:Humanitarian rescue has become an important part of government emergency management in China. In order to select the optimal humanitarian rescue scheme accurately and in a timely manner in an emergency, reduce the harm of disasters to human life and health, and improve the government’s emergency management ability, a multi-attribute emergency group decision-making method is proposed. First, interval-valued intuitionistic fuzzy sets are used to express the preferences of decision-makers, and interval-valued intuitionistic fuzzy entropy is used to calculate attribute weights. Then, based on the technique for order preference by similarity to an ideal solution (TOPSIS) method, the weight of the decision-maker is calculated. Then, the relevant interval intuitionistic fuzzy operators are used to summarize the preferences of decision-makers in group decision-making. Finally, we will use the closeness ranking method to choose the optimal scheme, and the feasibility and practicability of the proposed method are demonstrated by an example. The example shows that the model is more scientific, objective, and comprehensive in solving the problem of multi-attribute group decision-making than the traditional scheme selection, which only depends on the subjective discussion of decision-makers.
ISSN:2073-8994
2073-8994
DOI:10.3390/sym13040668