Gil Lafuente, Anna MariaKlimova, Anna2014-10-292014-10-2920121820-0214https://hdl.handle.net/2445/59199New economic and enterprise needs have increased the interest and utility of the methods of the grouping process based on the theory of uncertainty. A fuzzy grouping (clustering) process is a key phase of knowledge acquisition and reduction complexity regarding different groups of objects. Here, we considered some elements of the theory of affinities and uncertain pretopology that form a significant support tool for a fuzzy clustering process. A Galois lattice is introduced in order to provide a clearer vision of the results. We made an homogeneous grouping process of the economic regions of Russian Federation and Ukraine. The obtained results gave us a large panorama of a regional economic situation of two countries as well as the key guidelines for the decision-making. The mathematical method is very sensible to any changes the regional economy can have. We gave an alternative method of the grouping process under uncertainty.18 p.application/pdfeng(c) COMSIS Consortium, 2012Lògica borrosaAnàlisi de conglomeratsIncertesaFuzzy logicCluster analysisUncertaintyinfo:eu-repo/semantics/article6068672014-10-29info:eu-repo/semantics/openAccess