Issue:Application of intercriteria analysis to the rankings of Australian universities

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http://ifigenia.org/wiki/issue:nifs/21/4/136-142

Title of paper: Application of intercriteria analysis to the rankings of Australian universities Author(s): Evdokia Sotirova Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., Burgas 8010, Bulgaria esotirova@btu.bg Anthony Shannon Faculty of Engineering & IT, University of Technology, Sydney, NSW 2007, Australia Campion College, PO Box 3052, Toongabbie East, NSW 2146, Australia t.shannon@campion.edu.au , Anthony.Shannon@uts.edu.au Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 21, 2015, Number 4, pages 136–142 Download:  PDF (143  Kb, File info) Abstract: The InterCriteria Analysis (ICA) approach is applied to data extracted from the Australian University Ranking System for the years 2012–2014. The aim is to analyze the correlations among groups of indicators. Keywords: Intercriteria analysis, Intuitionistic fuzzy sets, Index matrix, University ratings, Multicriteria decision making AMS Classification: 03E72. References: Atanassov, K., Mavrov, D., & Atanassova, V. (2014) InterCriteria Decision Making: A New Approach for Multicriteria Decision Making, Based on Index Matrices and Intuitionistic Fuzzy Sets. Issues in Intuitionistic Fuzzy Sets and Generalized Nets, 11, 1–8. Atanassov, K., Szmidt, E. & Kacprzyk, J. (2013) On intuitionistic fuzzy pairs, Notes on Intuitionistic Fuzzy Sets, 19(3), 1–13. Atanassov, K. (2014) Index Matrices: Towards an Augmented Matrix Calculus. Studies in Computational Intelligence Series, Volume 573, Springer, Cham. Atanassov, K. (2012) On Intuitionistic Fuzzy Sets Theory, Springer, Berlin. Atanassova, V., D. Mavrov, L. Doukovska & K. Atanassov (2014) Discussion on the threshold values in the InterCriteria Decision Making approach, Notes on Intuitionistic Fuzzy Sets, 20(2), 94–99. Atanassova, V., L. Doukovska, K. Atanassov & D. Mavrov, (2014) InterCriteria Deci-sion Making Approach to EU Member States Competitiveness Analysis, Proceedings of the International Symposium on Business Modeling and Software Design – BMSD’14, 24–26 June 2014, Luxembourg, Grand Duchy of Luxembourg, 289–294. Atanassova, V. & I. Vardeva (2014) Sum- and average-based approach to criteria short-listing in the InterCriteria Analysis. Notes on Intuitionistic Fuzzy Sets, 20(4), 41–46. Atanassova, V., L. Doukovska, D. Karastoyanov & F. Capkovic (2014) InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis: Trend Analysis. In P. Angelov et al. (eds), Intelligent Systems’2014, Advances in Intelligent Systems and Computing 322, 107–115. Atanassova, V., L. Doukovska, D. Mavrov, & K. Atanassov (2014) InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis: Temporal and Threshold Analysis. In P. Angelov et al. (eds), Intelligent Systems’2014, Advances in Intelligent Systems and Computing 322, 95–106. Atanassov, K, V. Atanassova & G. Gluhchev (2015) InterCriteria Analysis: Ideas and problems, Notes on Intuitionistic Fuzzy Sets, 21(1), 81–88. Bureva, V., E. Sotirova, S. Sotirov, D. Mavrov (2015) Application of the InterCriteria Decision Making method to Bulgarian universities ranking, Notes on Intuitionistic Fuzzy Sets, 21(2), 111—117. Krawczak, M., V. Bureva, E. Sotirova & E. Szmidt (2015) Application of the InterCriteria decision making method to universities ranking, Novel Developments in Uncertainty Representation and Processing Advances in Intuitionistic Fuzzy Sets and Generalized Nets, Springer-Verlag Berlin Heidelberg, (in press). Rankings of Australian Universities, http://www.australianuniversities.com.au/rankings/#rankingsoverview. QS Top Universities, Worldwide University Rankings, Guides and Events, http://www.topuniversities.com/. TEQSA (2015) Statistics Reports on TEQSA Registered Higher Education Providers. Australian Government, Canberra, 30pp. Zadeh, L. A. (1965) Fuzzy Sets. Information and Control, 8, 333–353. Citations: Issue:InterCriteria Analysis as a tool for analyzing Big Data datasets: Case study of 2021 national statistics of Bulgarian system of higher education ‎ (← links) The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.