Approximation to the theory of affinities to manage the problems of the groupping process

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...

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Detalles Bibliográficos
Autores: Gil Lafuente, Anna Maria, Klimova, Anna
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/59199
Acceso en línea:https://hdl.handle.net/2445/59199
Access Level:acceso abierto
Palabra clave:Lògica borrosa
Anàlisi de conglomerats
Incertesa
Fuzzy logic
Cluster analysis
Uncertainty
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spelling Approximation to the theory of affinities to manage the problems of the groupping processGil Lafuente, Anna MariaKlimova, AnnaLògica borrosaAnàlisi de conglomeratsIncertesaFuzzy logicCluster analysisUncertaintyNew 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.COMSIS Consortium2014201420122014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion18 p.application/pdfapplication/pdfhttps://hdl.handle.net/2445/59199Articles publicats en revistes (Empresa)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: http://dx.doi.org/10.2298/CSIS130125042GComputer Science and Information Systems, 2012, vol. 11, num. 2, p. 779-796http://dx.doi.org/10.2298/CSIS130125042G(c) COMSIS Consortium, 2012info:eu-repo/semantics/openAccessoai:recercat.cat:2445/591992026-05-29T05:05:01Z
dc.title.none.fl_str_mv Approximation to the theory of affinities to manage the problems of the groupping process
title Approximation to the theory of affinities to manage the problems of the groupping process
spellingShingle Approximation to the theory of affinities to manage the problems of the groupping process
Gil Lafuente, Anna Maria
Lògica borrosa
Anàlisi de conglomerats
Incertesa
Fuzzy logic
Cluster analysis
Uncertainty
title_short Approximation to the theory of affinities to manage the problems of the groupping process
title_full Approximation to the theory of affinities to manage the problems of the groupping process
title_fullStr Approximation to the theory of affinities to manage the problems of the groupping process
title_full_unstemmed Approximation to the theory of affinities to manage the problems of the groupping process
title_sort Approximation to the theory of affinities to manage the problems of the groupping process
dc.creator.none.fl_str_mv Gil Lafuente, Anna Maria
Klimova, Anna
author Gil Lafuente, Anna Maria
author_facet Gil Lafuente, Anna Maria
Klimova, Anna
author_role author
author2 Klimova, Anna
author2_role author
dc.subject.none.fl_str_mv Lògica borrosa
Anàlisi de conglomerats
Incertesa
Fuzzy logic
Cluster analysis
Uncertainty
topic Lògica borrosa
Anàlisi de conglomerats
Incertesa
Fuzzy logic
Cluster analysis
Uncertainty
description 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.
publishDate 2012
dc.date.none.fl_str_mv 2012
2014
2014
2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/59199
url https://hdl.handle.net/2445/59199
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: http://dx.doi.org/10.2298/CSIS130125042G
Computer Science and Information Systems, 2012, vol. 11, num. 2, p. 779-796
http://dx.doi.org/10.2298/CSIS130125042G
dc.rights.none.fl_str_mv (c) COMSIS Consortium, 2012
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) COMSIS Consortium, 2012
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv COMSIS Consortium
publisher.none.fl_str_mv COMSIS Consortium
dc.source.none.fl_str_mv Articles publicats en revistes (Empresa)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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