The aim of this note is to provide a global performance index that allows to evaluate the performance of each faculty member and which is able to consider the multidimensional nature of the academic activity in terms of research, teaching and other activities that academics should/might exercise. In order to model also the case in which there could be synergic and redundant connections among the different areas of the academic activity, we propose to use fuzzy measures and the Choquet integral as an aggregator of the different components.

The aim of this paper is to provide a global performance index that allows to evaluate the performance of each faculty member and which is able to consider the multidimensional nature of the academic activity in terms of research, teaching and other activities that academics should/might exercise. In order to model also the case in which there could be synergic and redundant connections among the different areas of the academic activity, we propose to use fuzzy measures and the Choquet integral as an aggregator of the different components.

Building a global performance indicator to evaluate academic activity using fuzzy measures

CARDIN, Marta
;
CORAZZA, Marco
;
FUNARI, Stefania
;
GIOVE, Silvio
2013-01-01

Abstract

The aim of this paper is to provide a global performance index that allows to evaluate the performance of each faculty member and which is able to consider the multidimensional nature of the academic activity in terms of research, teaching and other activities that academics should/might exercise. In order to model also the case in which there could be synergic and redundant connections among the different areas of the academic activity, we propose to use fuzzy measures and the Choquet integral as an aggregator of the different components.
2013
Neural Nets and Surroundings
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/38598
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