Fuzzy Analysis of Students’ Ratings

Donata Marasini, Piero Quatto and Enrico Ripamonti

Evaluation Review, 2016, vol. 40, issue 2, 122-141

Abstract: Background: Intuitionistic fuzzy sets (IFS) represent a methodology for quantifying latent variables in questionnaire analysis through membership and non-membership functions, which are linked by an uncertainty function. Objectives: We aim to apply an IFS approach to the problem of students’ satisfaction of university teaching. Such framework can take into account a source of uncertainty related to items and another related to subjects. Results: A new technique for IFS analysis is set forth and generalized to a multivariate scenario. Potential advantages of the IFS perspective with respect to other nonfuzzy approaches are provided. Application: We apply this method to a national program of university courses evaluation and we focus, in particular, on the outcomes of two Masters in Statistics.

Keywords: fuzzy sets; intuitionistic fuzzy sets; multivariate analysis; satisfaction; teaching evaluation (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:40:y:2016:i:2:p:122-141

DOI: 10.1177/0193841X16662421

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