Grey clustering evaluation method is extensively used in evaluation of multi-factor things.In this paper, an improved commonorigin clustering function with centralized parabolic function was proposed to remove the disadvantages such as grey class overlap and membership grade even change in the function.This function can be used to make evaluation indices fuzzification, and allow the evaluated results to be more reasonable and truthful.The subjective and objective optimal combination weight method was adopted to calculate the comprehensive clustering coefficient and the overlap contradiction between weight and thresholdinformation was resolved.The improved centralized parabolic function was compared with the original commonorigin grey clustering function, andthe variation trend and the final comprehensive clustering coefficient of the function were analyzed. The results show that the improved centralized parabolic function is more suitable to the actual condition than the commonorigin gray clustering does.Finally, taking Panzhuang Irrigation District as an example, an evaluation onthe water-saving reconstructionproject in the district was carried out, and the evaluated results were well consistent with the actual situation.
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