Traditional credit evaluation technique only evaluates and analyzes the objective data at the isolated time points，but the objective may generate data variation due to some reasons． Therefore，this may lead to infidelity of the evaluation results and serious credit risk． Aimed at this problem，the multidimensional time series data is used to credit evaluation in this paper． First，the multidimensional time series data is dealt with separately by grey relational analysis，in order to solve the serious effects caused by dimension disaster． At the same time，the credit evaluation value is obtained． Then the time series matrix is used to fuzzy clustering analysis ． The real credit evaluation grade is got． The results of our experiment showed this method can observe the credit grade fluctuation of the credit evaluated in view of the time series． Thus，the infidelity of the evaluation results caused by data variation problem is solved，and the proposed method has accurate evaluation effect and better performance in practical application