The compability index G. Creating an index of closeness within weighted enviroment

This article addresses the problem of measuring closeness in weighted environments (decision-making environments). The article belongs to the field of mathematical modelling based in order topology. The relevance of this article is related with having a dependable cardinal measure of distance in wei...

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Autor principal: Garuti, Claudio
Formato: Artículo revista
Lenguaje:Español
Publicado: Escuela de Perfeccionamiento en Investigación Operativa 2017
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Acceso en línea:https://revistas.unc.edu.ar/index.php/epio/article/view/17845
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spelling I10-R359-article-178452017-12-28T17:34:13Z The compability index G. Creating an index of closeness within weighted enviroment Garuti, Claudio Weighted environments Measurement Compatibility index G Order topology This article addresses the problem of measuring closeness in weighted environments (decision-making environments). The article belongs to the field of mathematical modelling based in order topology. The relevance of this article is related with having a dependable cardinal measure of distance in weighted environments (order topology). Weighted environments is a no isotropic structure where the different directions (axes) may have different importance (weight) hence, there exist privilege directions. In this kind of structure is very important to have a cardinal reliable index, able to say how close or compatible is the set of measures of one individual with respect to the group (or to anyone other). Or how close is one pattern of behavior to another or in some special cases to assess how good a rule of measurement or index, built with any cardinal MCDM method is.  Common examples of application of this is the interaction between actors in a decision making process (system values interaction), matching profiles, pattern recognition, and any situation where a process of measurement with qualitative variables is involved. Escuela de Perfeccionamiento en Investigación Operativa 2017-09-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/epio/article/view/17845 Revista de la Escuela de Perfeccionamiento en Investigación Operativa; Vol. 25 Núm. 41 (2017): Mayo 1853-9777 0329-7322 spa https://revistas.unc.edu.ar/index.php/epio/article/view/17845/17664
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-359
container_title_str Revista de la Escuela de Perfeccionamiento en Investigación Operativa
language Español
format Artículo revista
topic Weighted environments
Measurement
Compatibility index G
Order topology
spellingShingle Weighted environments
Measurement
Compatibility index G
Order topology
Garuti, Claudio
The compability index G. Creating an index of closeness within weighted enviroment
topic_facet Weighted environments
Measurement
Compatibility index G
Order topology
author Garuti, Claudio
author_facet Garuti, Claudio
author_sort Garuti, Claudio
title The compability index G. Creating an index of closeness within weighted enviroment
title_short The compability index G. Creating an index of closeness within weighted enviroment
title_full The compability index G. Creating an index of closeness within weighted enviroment
title_fullStr The compability index G. Creating an index of closeness within weighted enviroment
title_full_unstemmed The compability index G. Creating an index of closeness within weighted enviroment
title_sort compability index g. creating an index of closeness within weighted enviroment
description This article addresses the problem of measuring closeness in weighted environments (decision-making environments). The article belongs to the field of mathematical modelling based in order topology. The relevance of this article is related with having a dependable cardinal measure of distance in weighted environments (order topology). Weighted environments is a no isotropic structure where the different directions (axes) may have different importance (weight) hence, there exist privilege directions. In this kind of structure is very important to have a cardinal reliable index, able to say how close or compatible is the set of measures of one individual with respect to the group (or to anyone other). Or how close is one pattern of behavior to another or in some special cases to assess how good a rule of measurement or index, built with any cardinal MCDM method is.  Common examples of application of this is the interaction between actors in a decision making process (system values interaction), matching profiles, pattern recognition, and any situation where a process of measurement with qualitative variables is involved.
publisher Escuela de Perfeccionamiento en Investigación Operativa
publishDate 2017
url https://revistas.unc.edu.ar/index.php/epio/article/view/17845
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