The traditional simple majority vote is generalized to fuzzy simple majority vote for the first time. A cluster matching algorithm is proposed to establish the correspondence among clusters from different fuzzy clusterings over the same data set using K Nearest Neighbors and Hungarian method. A combination model of fuzzy clusterings is proposed to combine multiple fuzzy clusterings over the same data set into a combinatorial fuzzy clustering by employing the proposed cluster matching algorithm to establish the correspondence among clusters from different fuzzy clusterings and the fuzzy simple majority vote to combine the matched fuzzy clusterings into a combinatorial fuzzy clustering. Experiments show that the proposed combination model of fuzzy clusterings is better than not only the component fuzzy clusterings but also Evgenia Dimitriadou and A.D. Gordon’s combination models of fuzzy clusterings.