Evaluation And Selection Of Emergency Material Allocation Schemes For Outburst Public Health Events Under Hesitant And Uncertain Information

With the development of economics and globalization,the size of cities has increased,social wealth has increased,and populations have become denser and denser.Outburst public health events have caused great damage to human living environment and caused disaster areas and people.The huge loss of life and property has had a serious impact on China's political and economic undertakings,and even threatened social stability.Among them,sufficient emergency supplies are the key to the victory of the "anti-epidemic".In the face of sudden outbreaks,whether materials can be efficiently and quickly delivered to demand points will directly affect the success or failure of the "ant-epidemic" results.Therefore,the optimization of emergency material distribution plan is the key link of disaster relief work,which should be given high attention.However,due to the unpredictability of public health emergencies,after the epidemic outbreak,decision makers did not know much about it,the decision-making environment was uncertain,and decision-making information was ambiguous,the government still had many problems in dealing with the distribution of materials,such as unreasonable and inadequate material distribution,which triggered the conflict of public opinion and caused a greater negative impact.Considering that hesitant uncertain information is a kind of fuzzy set,it has significant advantages in representing fuzzy information.A large number of scholars worldwide have used it in fuzzy multi-attribute decision-making with fruitful results.Therefore,in this paper,we use the hesitant neutrosophic set and the hesitant fuzzy linguistic term set to describe the decision-making information in the context of epidemic situation.By sorting out emergency material distribution methods for major public health security incidents at home and abroad,and drawing on previous coping strategies,this paper builds an evaluation model for emergency material distribution schemes based on hesitant uncertain information about outburst public health events.The main research contents include:(1)Hesitation neutrosophic entropy and new scoring function.Entropy is a description of the uncertainty of the system,which has been used in the field of information,among which entropy weight method has been widely used in multi-attribute decision-making.Considering the unknown weight of public healthemergencies,on the basis of previous studies,this paper puts forward the axiomatic definition of entropy of hesitation neutrosophic set,constructs a new calculation formula of entropy,and proves that the formula satisfies the axiomatic definition and determines the weight;Considering the ambiguity of neutrosophic numbers,it is not possible to directly compare the value,and a new scoring function is proposed to solve the problem of value comparison of neutrosophic information.(2)Construction of evaluation model of emergency material allocation scheme for public health emergencies.Combined with the characteristics and actual situation of the emergency material distribution scheme for public health emergencies,establish an evaluation index system suitable for the emergency material distribution scheme with strong implementability and scientificity;Due to the advantages of hesitant uncertain information in representing fuzzy information,this paper extends the hesitation neutrosophic number and hesitant fuzzy linguistic to the study of multi-attribute decision-making,and constructs VIKOR multi-attribute decision-making model based on hesitant uncertain information and TOPSIS multi-attribute decision-making model based on hesitant uncertain information.(3)Example study on emergency supplies allocation of outburst public health events.Taking the COVID-19 in my country as an example,this paper proposes an evaluation model for emergency material distribution schemes for public health emergencies to select emergency material distribution schemes,which can ensure that the novel coronavirus outbreaks can be distributed smoothly and orderly,and provide theoretical support for decision-makers to make scientific and rational decisions.In this paper,outburst public health events rescue material allocation scheme is evaluated by using the multi-attribute decision making method of hesitant uncertain information,which provides a new idea for the selection of emergency relief material allocation scheme.Finally,an example is proposed and compared with the traditional method to illustrate the rationality and effectiveness of the research in this paper.