This article presents a method for fuzzy classification with overlap (ssim) and the results obtained by applying it to a sample of French companies. The ssim method allows stable company clusters to be recognised. The results are discussed and compared to those yielded by other fuzzy classification methods: the K-means method and the "fuzzy equivalence relation-based hierarchical clustering method"
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