In order to solve the weakness of present ensemble methods for fuzzy clustering, a method of fuzzy clustering ensemble based on Dempster-Shafer(DS) theory is proposed, which takes every cluster member as the evidence, takes the relationship between pair of dates as the event and makes the co-matrix by accumulation of the evidence. Considering the classification effectiveness of each data point, a relationship based on the fuzzy degree and the fuzzy close-degree is proposed, and the new relationship is considered as the basic probability assignment for the evidence. Finally, the spectral clustering algorithm is used to make the final partition by similarity relationship based on the co-association matrix. Experimental results show that the method proposed is better than the current methods for clustering ensemble.