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Artículo

Linguistic model of affinity grouping to the study of poverty

Lazzari, Luisa Lucila; Fernandez, María JoséIcon
Fecha de publicación: 11/2008
Editorial: International Association for FUZZY-SET Management and Economy
Revista: Fuzzy Economic Review
ISSN: 1136-0593
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Economía, Econometría

Resumen

The problem of getting an homogeneous group of elements linked to various kinds of fuzzy relations is presented often in several decision areas. It is possible to solve it by applying the affinity concept that allows grouping items that meet certain characteristics in a degree. Poverty is a key issue in the analysis of the countries’ social situation. This has encouraged several researches in order to quantify this phenomenon, to characterize it and to compare it intertemporally into the country or with other nations. To target households considered poor due to unsatisfied basic needs it is useful to find an optimal segment, resulting from the crossing of several criteria that identify better the shortcomings of these households to group them by affinity. In this paper we introduce a linguistic model that uses affinity theory that permits grouping poor households depending on the degree of dissatisfaction of certain basic needs and the importance of the application of public policies to diminish them.
Palabras clave: Linguistic Model , Fuzzy Linguistic Relations , Affinity Grouping , Galois Lattice , Poverty Measures , Basic Needs
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/55047
URL: http://www.sigef.net/component/k2/item/415-linguistic-model-of-affinity-grouping
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Citación
Lazzari, Luisa Lucila; Fernandez, María José; Linguistic model of affinity grouping to the study of poverty; International Association for FUZZY-SET Management and Economy; Fuzzy Economic Review; XIII; 2; 11-2008; 37-52
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