Abstract: A model of maintenance policy choice was built based on traditional decisionmaking grid map for building optimal equipment maintenance policy effectively by using fuzzy methods. A decisionmaking grid map was established with the mean downtime and the breakdown frequency as decision criteria. The maintenance policy represented by each region was decided, based on which, the membership functions of decision criteria were built and the degree of satisfaction of the choice maintenance policy related to equipment was evaluated by using a new Fuzzy Weighted Average algorithm. The fuzzy set of the satisfaction degree of maintenance policy cost was built and the new Fuzzy Weighted Average algorithm was used for the second time to decide the optimal maintenance policy. The experiment results show that the model established can solve the problems of the decisionmaking bias brought about by the method of the traditional decisionmaking grid, and that it is flexible and practical because it takes the weight and policy's cost into consideration.