The multidimensional measurement of poverty: a fuzzy set approach
By using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of SHIW data. A set of composite indicators is constructed in order to analyze different dimensions of poverty. For each indicator is calculated an unidimensional poverty ratio, thus allo...
Main Authors: | , |
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Format: | Article |
Language: | English |
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University of Bologna
2013-05-01
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Series: | Statistica |
Online Access: | http://rivista-statistica.unibo.it/article/view/3536 |
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author | Michele Costa Luca De Angelis |
author_facet | Michele Costa Luca De Angelis |
author_sort | Michele Costa |
collection | DOAJ |
description | By using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of SHIW data. A set of composite indicators is constructed in order to analyze different dimensions of poverty. For each indicator is calculated an unidimensional poverty ratio, thus allowing a comparison among indicators on the dimensions of poverty. Finally, a multidimensional poverty ratio is obtained. |
first_indexed | 2024-04-12T17:08:24Z |
format | Article |
id | doaj.art-72259e052fae4fc1b55afdcbc0a7d674 |
institution | Directory Open Access Journal |
issn | 0390-590X 1973-2201 |
language | English |
last_indexed | 2024-04-12T17:08:24Z |
publishDate | 2013-05-01 |
publisher | University of Bologna |
record_format | Article |
series | Statistica |
spelling | doaj.art-72259e052fae4fc1b55afdcbc0a7d6742022-12-22T03:23:52ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-01683/430331910.6092/issn.1973-2201/35363282The multidimensional measurement of poverty: a fuzzy set approachMichele Costa0Luca De Angelis1Alma Mater Studiorum - Università di BolognaAlma Mater Studiorum - Università di BolognaBy using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of SHIW data. A set of composite indicators is constructed in order to analyze different dimensions of poverty. For each indicator is calculated an unidimensional poverty ratio, thus allowing a comparison among indicators on the dimensions of poverty. Finally, a multidimensional poverty ratio is obtained.http://rivista-statistica.unibo.it/article/view/3536 |
spellingShingle | Michele Costa Luca De Angelis The multidimensional measurement of poverty: a fuzzy set approach Statistica |
title | The multidimensional measurement of poverty: a fuzzy set approach |
title_full | The multidimensional measurement of poverty: a fuzzy set approach |
title_fullStr | The multidimensional measurement of poverty: a fuzzy set approach |
title_full_unstemmed | The multidimensional measurement of poverty: a fuzzy set approach |
title_short | The multidimensional measurement of poverty: a fuzzy set approach |
title_sort | multidimensional measurement of poverty a fuzzy set approach |
url | http://rivista-statistica.unibo.it/article/view/3536 |
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