Evaluation For The Internet Finance Soft Power Based On G1-Hesitant Fuzzy Evaluation Method

Relying on the efficient information processing ability and resources allocation ability of the Internet platform, the Internet Finance provides financial service for all social groups in all sides and become the important way to achieve the goal of “Common Benefited Finance” for China. The industry scale and the number of investors of the Internet Finance have achieved an rapid development since 2013. But many platforms get problems of cash withdrawal or bankruptcy in the same time. Prime Minister Li Keqiang emphasized the policy of promoting the healthy development of the Internet Finance in 2014 and 2015. The hard power of the Internet Finance industry includes the industry scale, the hardware equipments and the platform resources. The soft power of the Internet Finance industry is mainly the attraction of the industry for the investors and financiers. This thesis argues that the healthy development of the Internet Finance needs to build the hard power and the soft power at the same time. There are not many scholars researching on the Internet Finance soft power at present. This thesis researches on the evaluation of the Internet Finance soft power, tries to evaluate the Internet Finance soft power in China by G1-Hesitant Fuzzy evaluation model and then analyzes the evaluation results.Firstly, this thesis summarizes the current situation of the development of the Internet Finance industry, including industry development trends and the existed problems. Secondly, this thesis gives an overview of the Internet Finance and then discusses the Internet Finance soft power based on the soft power theory and financial competitiveness theory. At the same time, this thesis constructs the evaluation index system of Internet Finance soft power based on the current development of the Internet Finance in China and the characteristics of the Internet Financial industry. Thirdly, this thesis describes the traditional G1 method and points out that the method is too subjective. Then this thesis modifies the index order circularly by the mean of the Spearman correlation coefficient and calculates the weight coefficient by weighted mutation rates in order to avoid the disadvantage. Based on the fuzzy comprehensive evaluation method, this thesis introduces the hesitant fuzzy set theory to allow every index affiliated to several degrees so that the method can retain more original hesitant information of evaluators. Then integrates the hesitant information by hesitant fuzzy integration operator. Finally, this thesis evaluates the Internet Finance soft power of China in 2013 and 2014 by the G1-Hesitant Fuzzy evaluation model and analyzes the results. The results reflect that the Internet Finance soft power in China is developing fast, but it still remains in primary stage and the development between different indexes is not harmonious.