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A multi-criteria fuzzy approach for analyzing poverty structure
Paola Annoni, University of Milan, Dept. of Economics, Business and Statistics
Marco Fattore, University of Milano-Bicocca, Dept. of Statistics
Rainer Brüggemann, Institute of Fresh Water Ecology and Inland Fisheries, Berlin, Germany
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ABSTRACT:
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.
SUBJECT AREA:
C81, I32
SUGGESTED CITATION:
Paola Annoni, Marco Fattore, and Rainer Brüggemann,
"A multi-criteria fuzzy approach for analyzing poverty structure"
(May 2008).
UNIMI - Research Papers in Economics, Business, and Statistics.
Statistics and Mathematics.
Working Paper 35.
http://services.bepress.com/unimi/statistics/art35
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