Abstract
In this paper, we present a problem of candidates ranking for Master of Science studies at Faculty of Organizational Sciences, Belgrade (FOS). Current ranking model is based on weighted sum of two factors: average grade gained at undergraduate studies and number of points scored at the entrance exam for master studies. This universal model, although widespread and frequently used, is not entirely appropriate for a number of different Master of Science programs at FOS. Major problems of current model are that the model does not emphasize essential knowledge in accordance to wanted program and that the weighted sum is unable to model connection between variables. This paper presents a series of models, each more complex than the previous one, which are aggregating more relevant factor for ranking. Logical Aggregation (LA) is used as a method for the aggregation of certain variables in the last few models. LA is based on Interpolative Boolean algebra (IBA), a consistent multi-valued realization of Boolean algebra. This paper may be particularly interesting to all of those dealing with any form of students ranking, especially to university departments involved in enrolling students and selection for scholarships.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Chen, S.J., Hwang, C.L., Hwang, F.P.: Fuzzy Multiple Attribute Decision Making. Methods and Applications. Springer, New York (1992)
Hsieh, C.S., Wu, C.H., Huang, T., Chen, Y.W.: Analyzing the Characteristics of Fuzzy Synthetic Decision Methods on Evaluating Student’s Academic Achievement. In: International Conference on Artificial Intelligence and Computational Intelligence, pp. 491–495. Conference Publications (2009)
Mirković, M., Hodolič, J., Radojević, D.: Aggregation for Quality Management. Yugoslav Journal for Operational Research 16(2), 177–188 (2006), doi:10.2298/YJOR0602177M
Radojević, D.: Interpolative Realization of Boolean Algebra. In: The 8th Symposium on Neural Network Application in Electrical Engineering, pp. 201–206. Conference Publications (2006), doi:10.1109/NEUREL.2006.341214
Radojević, D.: Interpolative realization of Boolean algebra as a consistent frame for gradation and/or fuzziness. In: Nikravesh, M., Kacprzyk, J., Zadeh, L.A. (eds.) Forging New Frontiers: Fuzzy Pioneers II. STUDFUZZ, vol. 218, pp. 326–351. Springer, Heidelberg (2007)
Radojević, D.: Fuzzy Set Theory in Boolean Frame. International Journal of Computers Communications and Control 3(S), 121–131 (2008)
Radojević, D.: Logical Aggregation Based on Interpolative Boolean Algebra. Mathware & Soft Computing 15, 125–141 (2008)
Ross, T.: Fuzzy Logic With Engineering Application, 3rd edn. John Wiley & Sons, Ltd., Chichester (2010)
Triantaphyllou, E.: Multi-Criteria Decision Making Methods: A Comparative Study. Kluwer Acad. Publ., Dordrecht (2000)
Yeh, C.: The Selection of Multiattribute Decision Making Methods for Scholarship Student Selection. International Journal of Selection and Assessment 11(4), 289–296 (2003), doi:10.1111/j.0965-075X.2003.00252.x
Zadeh, A.L.: Is there a need for fuzzy logic? Information Sciences: an International Journal 178(13), 2751–2779 (2008), doi:10.1016/j.ins.2008.02.012
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Milošević, P., Nešić, I., Poledica, A., Radojević, D.G., Petrović, B. (2013). Models for Ranking Students: Selecting Applicants for a Master of Science Studies. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-33941-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33940-0
Online ISBN: 978-3-642-33941-7
eBook Packages: EngineeringEngineering (R0)