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Issue:Intuitionistic fuzzy estimation of the doctoral comprehensive examination

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Title of paper: Intuitionistic fuzzy estimation of the doctoral comprehensive examination
Author(s):
Evdokia Sotirova
Prof. Asen Zlatarov University, Burgas-8000, Bulgaria
esotirova@btu.bg
Anthony Shannon
Faculty of Engineering & IT, University of Technology, Sydney, NSW 2007, Australia
Anthony.Shannon@uts.edu.au
Sotir Sotirov
Prof. Asen Zlatarov University, Burgas-8000, Bulgaria
ssotirov@btu.bg


Maciej Krawczak
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Systems Research Institute – Polish Academy of Sciences, Wyzsza Szkola Informatyki Stosowanej i Zarzadzania, Warsaw, Poland
krawczak@ibspan.waw.pl
Published in: "Notes on IFS", Volume 20, 2014, Number 2, pages 119-125
Download:  PDF (332  Kb, Info)
Abstract: This paper describes a method for determining an intuitionistic fuzzy estimation of PhD candidature using the theories of Index Matrices and Intuitionistic Fuzzy Sets. The estimated degrees of satisfaction of the criteria by candidates are clustered by a neural network. In this way the procedure for assessment of the candidates for the dissertation stage can be measured and analyzed.
Keywords: Intuitionistic Fuzzy Sets, Index Matrices, Self-organizing Maps.
AMS Classification: 03E72, 97M99
References:
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  2. Atanassov, K., On index matrices, Part 1: Standard cases. Advanced Studies in Contemporary Mathematics, Vol. 20, 2010, No. 2, 291-302.
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  8. Kohonen, T., J. Hynninen, J. Kangas, J. Laaksonen, SOM_PAK: The self-organizing map program package. Report A31. Helsinki University of Technology, Laboratory of Computer and Information Science, Espoo, Finland, 1996. [Available online at http://www.cis.hut.fi/research/som_lvq_pak.shtml.]
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  11. Sotirova, E., S. Sotirov, I. Vardeva, B. Riečan, Publication’s assessment with intuitionistic fuzzy estimations, Notes on Intuitionistic Fuzzy Sets, Vol. 18, 2012, No. 4, 26–31.
  12. Sotirova, E., Classification of the students’ intuitionistic fuzzy estimations by a 3-dimensional self organizing map, Notes on Intuitionistic Fuzzy Sets, Vol. 17, 2011, No. 4, 64–68.
  13. Shannon, A., B. Riečan, E. Sotirova, M. Krawczak, K. Atanassov, P. Melo-Pinto, T. Kim, Modelling the process of PhD preparation using generalized nets, Proc. of 14th International Workshop on Generalized Nets, Burgas, 29–30 November 2013, 34–38.
  14. Shannon, A. G., Research degree supervision: ‘More mentor than master’, In: Postgraduate Studies, Postgraduate Pedagogy (Lee, A., B. Green, eds)., UTS, Sydney, 1998, 31–41.
  15. Trigwell, K., A. G. Shannon, R. Maurizi, Research-coursework Doctoral Programs in Australian Universities. Australian Government Publishing Service, Canberra, 1997.
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