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Evaluating university courses: intuitionistic fuzzy sets with spline functions modelling

digital Evaluating university courses: intuitionistic fuzzy sets with spline
functions modelling
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2017 - 1
title Evaluating university courses: intuitionistic fuzzy sets with spline functions modelling
authors

publisher Vita e Pensiero
format Article | Pdf
online since 01-2018
doi 10.26350/999999_000002
issn 18246672 (print)
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Spline functions are a very flexible and powerful tool, which has been adopted in several applied fields, such as the evaluation of Public Services. In this paper, we use splines to model membership and non-membership functions in the context of Intuitionistic Fuzzy Sets. Such choice allows us to properly consider, in a very general way, the degree of satisfaction, dissatisfaction, as well as the underlying uncertainty expressed by participants rating evaluation questionnaires. This is a compelling advantage of the fuzzy analysis as compared to the use of simple descriptive statistics. We apply this approach using the questionnaires prepared by the ANVUR to assess University courses, and we perform a sensitivity analysis to validate the results.

keywords

Intuitionistic Fuzzy Sets, Spline Functions, Membership Function, Uncertainty Function, University Courses, Evaluation