A multi-criteria fuzzy approach for analyzing poverty structure
Poverty is a multidimensional, fuzzy and complex phenomenon that cannot be faithfully represented by mono-dimensional monetary indicators. In the last years, much research has been devoted to tackle poverty fuzziness, while less attention has been paid to poverty complexity. In this paper, we employ Fuzzy Multi-Criteria Analysis to provide a structural representation of poverty, in terms of the pattern of implications existing among different poverty descriptors related to specific scenarios. We show how fuzzy relation theory and partially ordered set techniques are effective in representing complex relational structures and provide new insights into multidimensional poverty. An application of Fuzzy Multi-Criteria Analysis to poverty data concerning two Italian regions is also provided, based on EU-SILC data for year 2004.
|Date of creation:||26 May 2008|
|Date of revision:|
|Contact details of provider:|| Postal: Via Conservatorio 7 - 20122 Milano|
Phone: +39 02 503 16486
Fax: +39 02 503 16475
Web page: http://services.bepress.com/unimi
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:bep:unimip:unimi-1072. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum)
If references are entirely missing, you can add them using this form.