CUB models: a preliminary fuzzy approach to heterogeneity

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.