Recognizing estable corporate groups: a fuzzy classification method
Alain Counturier, Conservatoire National des Arts et Mètiers (CNAM) Nantes
Bernard Fioleau, Faculté des Sciences Economiques et de Gestion
- Fuzzy Economic Review: Volume II, number 2. November 1997
- DOI: 10.25102/fer.1997.02.03
Abstract
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".