In line with the increasing attention paid to deal with uncertainty in ordinal data models, we propose to combine Fuzzy models with \cub models within questionnaire analysis. In particular, the focus will be on \cub models' uncertainty parameter and its interpretation as a preliminary measure of heterogeneity, by introducing membership, non-membership and uncertainty functions in the more general framework of Intuitionistic Fuzzy Sets. Our proposal is discussed on the basis of the Evaluation of Orientation Services survey collected at University of Naples Federico II.

CUB models: a preliminary fuzzy approach to heterogeneity

DI NARDO, Elvira;
2016

Abstract

In line with the increasing attention paid to deal with uncertainty in ordinal data models, we propose to combine Fuzzy models with \cub models within questionnaire analysis. In particular, the focus will be on \cub models' uncertainty parameter and its interpretation as a preliminary measure of heterogeneity, by introducing membership, non-membership and uncertainty functions in the more general framework of Intuitionistic Fuzzy Sets. Our proposal is discussed on the basis of the Evaluation of Orientation Services survey collected at University of Naples Federico II.
SIS2016
Salerno
8-10 June 2016
Proceedings of the 48th scientific meeting of the Italian Statistical Society
University of Salerno
1
10
9788861970618
http://arxiv.org/abs/1606.06521v1
Statistics - Applications; Statistics - Applications
Di Nardo, E.; Simone, R.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1570822
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