In this paper, a new approach to the fuzzy analysis of multidimensional material deprivation data is provided, based on partial order theory. The main feature of the methodology is that the information needed for the deprivation assessment is extracted directly from the relational structure of the dataset, avoiding any kind of scaling and aggregation procedure, so as to respect the ordinal nature of the data. An example based on real data is worked out, pertaining to material deprivation in Italy for the year 2004

Fattore, M., Brueggemann, R., Owsinski, J. (2011). Using poset theory to compare fuzzy multidimensional material deprivation across regions. In Ingrassia S, Rocci R, Vichi M (a cura di), New Perspectives in Statistical Modeling and Data Analysis (pp. 49-56). Springer-Verlag [10.1007/978-3-642-11363-5_6].

Using poset theory to compare fuzzy multidimensional material deprivation across regions

FATTORE, MARCO;
2011

Abstract

In this paper, a new approach to the fuzzy analysis of multidimensional material deprivation data is provided, based on partial order theory. The main feature of the methodology is that the information needed for the deprivation assessment is extracted directly from the relational structure of the dataset, avoiding any kind of scaling and aggregation procedure, so as to respect the ordinal nature of the data. An example based on real data is worked out, pertaining to material deprivation in Italy for the year 2004
Capitolo o saggio
Partial order, multidimensional poverty, material deprivation, Hasse diagrams, evaluation
English
New Perspectives in Statistical Modeling and Data Analysis
Ingrassia S; Rocci R; Vichi M
2011
978-3-642-11362-8
Springer-Verlag
49
56
Fattore, M., Brueggemann, R., Owsinski, J. (2011). Using poset theory to compare fuzzy multidimensional material deprivation across regions. In Ingrassia S, Rocci R, Vichi M (a cura di), New Perspectives in Statistical Modeling and Data Analysis (pp. 49-56). Springer-Verlag [10.1007/978-3-642-11363-5_6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/26636
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