Grey assessment and prediction of the financial agglomeration degree in central five cities

According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, and comprehensively evaluates the financial agglomeration degree of five cities: Wuhan, Changsha, Zhengzhou, Nanchang and Hefei-in, China´s middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision making model. It also predicts their development tendency by using the GM (1,1, β) model. The results shows that the multiple dimension grey fuzzy decision making pattern can not only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in the central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in the central five cities.