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.
Fuzzy Analysis of Students’ Ratings
MARASINI, DONATA;RIPAMONTI, ENRICO
2016-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
