According to the fact that current effectiveness evaluation models lay more emphasis on the static observations of indicators and less on the trend information inherent in sequential observations, a new dynamic evaluation methods for spare parts support effectiveness based on grey clustering-rough set and set pair analysis was proposed. Compared with the subjective and the objective weight-deciding method′s virtue and disadvantage, the weight of every index was decided by using grey clustering-rough set combinational method. By establishing the set of spare parts support effectiveness evaluation set pair, the dynamic variation law of the protection of spare parts was described by definition of set pair equal power balance power and opposite power, Based on Markov chain, the dynamic set pair model was analyzed, The results show that the model can reflect the spare parts support effectiveness dynamic characteristics effectively, giving the decision makers a scientific reference to develop a long-term plan for the support of spare parts.