| Title of paper:
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Intuitionistic fuzzy estimation of the doctoral comprehensive examination
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| Author(s):
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| Evdokia Sotirova
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| Prof. Asen Zlatarov University, Burgas-8000, Bulgaria
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| esotirova@btu.bg
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| Anthony Shannon
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| Faculty of Engineering & IT, University of Technology, Sydney, NSW 2007, Australia
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| Anthony.Shannon@uts.edu.au
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| Sotir Sotirov
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| Prof. Asen Zlatarov University, Burgas-8000, Bulgaria
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| ssotirov@btu.bg
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| Maciej Krawczak
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| 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
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| krawczak@ibspan.waw.pl
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| Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 20, 2014, Number 2, pages 119-125
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| Download:
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 PDF (332 Kb, File info)
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| Abstract:
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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.
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| Keywords:
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Intuitionistic Fuzzy Sets, Index Matrices, Self-organizing Maps.
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| AMS Classification:
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03E72, 97M99
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| References:
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- 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.
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- Trigwell, K., A. G. Shannon, R. Maurizi, Research-coursework Doctoral Programs in Australian Universities. Australian Government Publishing Service, Canberra, 1997.
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