Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/59199
Title: Approximation to the theory of affinities to manage the problems of the groupping process
Author: Gil Lafuente, Anna Maria
Klimova, Anna
Keywords: Lògica borrosa
Anàlisi de conglomerats
Incertesa
Fuzzy logic
Cluster analysis
Uncertainty
Issue Date: 2012
Publisher: COMSIS Consortium
Abstract: 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.
Note: Reproducció del document publicat a: http://dx.doi.org/10.2298/CSIS130125042G
It is part of: Computer Science and Information Systems, 2012, vol. 11, num. 2, p. 779-796
Related resource: http://dx.doi.org/10.2298/CSIS130125042G
URI: http://hdl.handle.net/2445/59199
ISSN: 1820-0214
Appears in Collections:Articles publicats en revistes (Empresa)

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