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Approximation to the theory of affinities to manage the problems of the groupping process
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New 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.
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GIL LAFUENTE, Anna maria, KLIMOVA, Anna. Approximation to the theory of affinities to manage the problems of the groupping process. _Computer Science and Information Systems_. 2012. Vol. 11, núm. 2, pàgs. 779-796. [consulta: 24 de gener de 2026]. ISSN: 1820-0214. [Disponible a: https://hdl.handle.net/2445/59199]