In the poverty analysis framework, a great deal of attention has been paid to the poverty measurement in terms of monetary variables, such as income or consumption. In this context, a relevant open problem is connected with the distinction between poor and non-poor. In fact, the concept of poverty is rather vague and cannot be defined in a clear way. In this respect, following a fuzzy logic approach, some new poverty measures are proposed. In particular, the fuzzy extension of two existing poverty measures based on the Gini and Bonferroni inequality indices is provided. Some synthetic and real applications are given in order to show how the proposed poverty measures work.

A fuzzy logic approach to poverty analysis based on the Gini and Bonferroni inequality indices / Giordani, Paolo; Giorgi, Giovanni Maria. - In: STATISTICAL METHODS & APPLICATIONS. - ISSN 1618-2510. - 19:4(2010), pp. 587-607. [10.1007/s10260-010-0146-8]

A fuzzy logic approach to poverty analysis based on the Gini and Bonferroni inequality indices

GIORDANI, Paolo;GIORGI, Giovanni Maria
2010

Abstract

In the poverty analysis framework, a great deal of attention has been paid to the poverty measurement in terms of monetary variables, such as income or consumption. In this context, a relevant open problem is connected with the distinction between poor and non-poor. In fact, the concept of poverty is rather vague and cannot be defined in a clear way. In this respect, following a fuzzy logic approach, some new poverty measures are proposed. In particular, the fuzzy extension of two existing poverty measures based on the Gini and Bonferroni inequality indices is provided. Some synthetic and real applications are given in order to show how the proposed poverty measures work.
2010
fuzzy logic approach; gini and bonferroni inequality indices; poverty measures; sen poverty index
01 Pubblicazione su rivista::01a Articolo in rivista
A fuzzy logic approach to poverty analysis based on the Gini and Bonferroni inequality indices / Giordani, Paolo; Giorgi, Giovanni Maria. - In: STATISTICAL METHODS & APPLICATIONS. - ISSN 1618-2510. - 19:4(2010), pp. 587-607. [10.1007/s10260-010-0146-8]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/412488
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