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Soft Computing Applications pp 93–103Cite as

Models for Ranking Students: Selecting Applicants for a Master of Science Studies

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 195))

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.

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Author information

Authors and Affiliations

  1. Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, Belgrade, 11000, Serbia

    Pavle Milošević, Ivan Nešić, Ana Poledica & Bratislav Petrović

  2. Mihajlo Pupin Institute, Volgina 154, Belgrade, 11000, Serbia

    Dragan G. Radojević

Authors
  1. Pavle Milošević
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  2. Ivan Nešić
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  3. Ana Poledica
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  4. Dragan G. Radojević
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  5. Bratislav Petrović
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Corresponding author

Correspondence to Pavle Milošević .

Editor information

Editors and Affiliations

  1. , Department of Automation & Applied Infor, Aurel Vlaicu University of Arad, Blvd. Revolutiei 77, Arad, 310130, Romania

    Valentina Emilia Balas

  2. , Institute of Intelligent Engineering, Óbuda University, Bécsi út 96/b, Budapest, 1034, Hungary

    János Fodor

  3. Dept. Measurement &, Information Systems, Technical University Budapest, Magyar tudósok körutja 2, Budapest, 1521, Hungary

    Annamária R. Várkonyi-Kóczy

  4. , Department of Informatics, University of Szeged, Arpad ter 2., Szeged, 6720, Hungary

    Joszef Dombi

  5. , School of Electrical and Information, University of South Australia, 5095, Adelaide, Australia

    Lakhmi C. Jain

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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

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  • 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)

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