Abstract
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.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E., Herrera, F.: h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics 3, 273–289 (2009)
Bana e Costa, C.A., Oliveira, M.D.: A multicriteria decision analysis model for faculty evaluation. Omega 40, 424–436 (2012)
Burrell, Q.: On the h index, the size of the Hirsh core and Jin’s A index. Journal of Informetrics 1, 170–177 (2007)
Cardin, M., Corazza, M., Funari, S., Giove, S.: A fuzzy-based scoring rule for author ranking. An alternative of h index. In: Apolloni, B., Bassis, S., Esposito, A., Morabito, C.F. (eds.) Neural Nets WIRN 2011. Proceedings of the 21st Italian Workshop on Neural Nets. Frontiers in Artificial Intelligence and Applications, vol. 234, pp. 36–45. IOS Press (2011)
Felder, R.M., Brent, R.: How to evaluate teaching. Chemical Engineering Education 38, 200–202 (2004)
Hirsch, J.: An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences 102, 16569–16572 (2005)
Hoyt, D.P., Pallett, W.H.: Appraising Teaching Effectiveness: Beyond Student Ratings. IDEA PAPER 36 (1999)
Marchant, T.: Score-based bibliometric rankings of authors. Journal of the American Society for Information Science and Technology 60, 1132–1137 (2009)
Marichal, J.L.: Aggregation of interacting criteria by means of the discrete Choquet integral. In: Calvo, T., Mayor, G., Mesiar, R. (eds.) Aggregation Operators: New Trends and Applications. STUDFUZZ, vol. 97, pp. 224–244. Physica-Verlag (2002)
Mesiar, R., Vivona, D.: Two-step integral with respect to fuzzy measure. Tatra Mountains Mathematical Pubblications 16, 359–368 (2006)
Narukawa, Y., Murofushi, T.: The n-step Choquet integral on finite spaces. In: Proceedings of the 9th International Conference on Information Processes and Management of Uncertainty in Knowledge-Based Systems, Annecy, France (2002)
Tucci, M.P., Fontani, S., Ferrini, S.: L’R-Factor: un nuovo modo di valutare l’attività di ricerca. Studi e Note di Economia 1, 103–140 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Cardin, M., Corazza, M., Funari, S., Giove, S. (2013). Building a Global Performance Indicator to Evaluate Academic Activity Using Fuzzy Measures. In: Apolloni, B., Bassis, S., Esposito, A., Morabito, F. (eds) Neural Nets and Surroundings. Smart Innovation, Systems and Technologies, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35467-0_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-35467-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35466-3
Online ISBN: 978-3-642-35467-0
eBook Packages: EngineeringEngineering (R0)