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.

Abstract. Taobao is the biggest platform for C2C e-commerce in China. Based on the data of expresses from taobao.com, this paper conducts a statistical analysis about the C2C express in China under 31 provinces, three economic zones and eight economic regions, respectively. C2C expresses related with each area are classified into outbound expresses and inbound expresses according to their recipient addresses and sender addresses. The development of C2C expresses in China is unbalanced and the difference of outbound expresses between areas is much higher than the inbound expresses. Concepts of express surplus and express deficit are put forward based on the definition of trade surplus and trade deficit. Statistical results show only 4 provinces' C2C expresses are surplus, the rest are all deficit. We found that 84.2% of C2C expresses in China are distributed across different provinces. Delivery distances of C2C expresses across different provinces are calculated as well. Delivery distance for most C2C trans-provincial expresses is bigger than 500km and less than 1500 km.