ABSTRACT

n order to objectively evaluate the level of financial agglomeration in Guizhou Province, this paper constructs an evaluation index system of financial agglomeration level from four aspects: financial industry, banking industry, securities industry and insurance industry. Baidu index derived from the keywords of “finance”, “bank”, “securities” and “insurance” is included in the evaluation index system. Based on the hesitant fuzzy linguistic set theory and PROMETHEE multi-attribute decision-making method, the evaluation results of financial agglomeration level of nine cities in Guizhou Province are obtained. The empirical results show that Baidu Index can improve the scientific evaluation of financial agglomeration to a certain extent. The introduction of Baidu Index evaluation index system is more in line with the development of the era of Internet big data. At the same time, hesitant fuzzy language set can effectively solve the decision-making problems in complex information environment. The application of hesitant fuzzy language PROMETHEE method in the evaluation of financial agglomeration level has a strong accuracy.