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Issue:InterCriteria Analysis of rankings of Indian universities: Difference between revisions

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  | file            = NIFS-24-1-099-109.pdf
  | file            = NIFS-24-1-099-109.pdf
  | format          = PDF
  | format          = PDF
  | size            = 244 Kb
  | size            = 406 Kb
  | abstract        = The present paper discusses the application of InterCriteria Analysis over a dataset of rankings of the top performing Indian academic institutions in 2017. It serves as an illustrative example for application of the InterCriteria Analysis over weighted data. Comparison is made between the performance of the detected correlations between the different parameters before and after the application of the weight coefficients. All results are interpreted with the intuitionistic fuzzy triangle.
  | abstract        = The present paper discusses the application of InterCriteria Analysis over a dataset of rankings of the top performing Indian academic institutions in 2017. It serves as an illustrative example for application of the InterCriteria Analysis over weighted data. Comparison is made between the performance of the detected correlations between the different parameters before and after the application of the weight coefficients. All results are interpreted with the intuitionistic fuzzy triangle.
  | keywords        = InterCriteria Analysis, Multicriteria decision making, Correlation, Consonance, Dissonance, University ratings.
  | keywords        = InterCriteria Analysis, Multicriteria decision making, Correlation, Consonance, Dissonance, University ratings.

Revision as of 10:24, 16 March 2018

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Title of paper: InterCriteria Analysis of rankings of Indian universities
Author(s):
R. Parvathi
Department of Mathematics, Vellalar College for Women, Erode - 638 012, Tamilnadu, India, Tiruchirappalli – 620020, India
paarvathis@rediffmail.com
Vassia Atanassova
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Block105, Sofia 1113, Bulgaria
vassia.atanassova@gmail.com
Lyubka Doukovska
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Block 2, Sofia 1113, Bulgaria
doukovska@iit.bas.bg
H. Sheik Mujibur Rahman
Department of Mathematics, Vellalar College for Women, Erode - 638 012, Tamilnadu, India, Tiruchirappalli – 620020, India
yuvapriya.c@gmail.com
H. Sheik Mujibur Rahman
Department of Mathematics, Vellalar College for Women, Erode - 638 012, Tamilnadu, India, Tiruchirappalli – 620020, India
indhumaths.100@gmail.com
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 24 (2018), Number 1, pages 99–109
Download:  PDF (406 Kb  Kb, File info)
Abstract: The present paper discusses the application of InterCriteria Analysis over a dataset of rankings of the top performing Indian academic institutions in 2017. It serves as an illustrative example for application of the InterCriteria Analysis over weighted data. Comparison is made between the performance of the detected correlations between the different parameters before and after the application of the weight coefficients. All results are interpreted with the intuitionistic fuzzy triangle.
Keywords: InterCriteria Analysis, Multicriteria decision making, Correlation, Consonance, Dissonance, University ratings.
AMS Classification: 03E72.
References:
  1. Atanassov, K. (2014) Index Matrices: Towards an Augumented Matrix Calculus, Studies in Computational Intelligence Series, Vol. 573, Springer, Cham.
  2. Atanassov, K. (1986) Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20(1), 87–96.
  3. Atanassov, K., Atanassova, V., & Gluhchev, G. (2015) InterCriteria Analysis: Ideas and problems, Notes on Intuitionistic Fuzzy Sets, 21(1), 81–88.
  4. 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.
  5. Atanassov, K., Szmidt, E. & Kacprzyk, J. (2013) On intuitionistic fuzzy pairs, Notes on Intuitionistic Fuzzy Sets, 19(3), 1–13.
  6. Atanassova, V., Mavrov, D., Doukovska, L., & Atanassov, K. (2014) Discussion on the threshold values in the InterCriteria Decision Making approach. Notes on Intuitionistic Fuzzy Sets, 20(2), 94–99.
  7. Atanassova, V. (2015) Interpretation in the Intuitionistic Fuzzy Triangle of the Results, Obtained by the InterCriteria Analysis. Proc. of 16th World Congress of the International Fuzzy Systems Association (IFSA), 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), 30. 06-03. 07. 2015, Gijon, Spain, 2015, 1369–1374.
  8. Atanassova, V. (2017) New Modified Level Operator Ng over Intuitionistic Fuzzy Sets. In: Henning Christiansen, Hélène Jaudoin, Panagiotis Chountas, Troels Andreasen, Henrik Legind Larsen (Eds.): Flexible Query Answering Systems, 12th International Conference, FQAS 2017, London, UK, June 21–22, 2017. Proceedings. Lecture Notes in Computer Science 10333, Springer, 209–214.
  9. Atanassova, V., Vardeva, L., Sotirova, E., & Doukovska, L. (2016) Traversing and ranking of elements of an intuitionistic fuzzy set in the intuitionistic fuzzy interpretation triangle, Chapter, Novel Developments in Uncertainty Representation and Processing, Vol. 401, Advances in Intelligent Systems and Computing, Springer, 161–174.
  10. Bureva, V., Michalíková, A., Sotirova, E., Popov, S., Riečan, B., & Roeva, O. (2017) Application of the InterCriteria Analysis to the universities rankings system in the Slovak Republic. Notes on Intuitionistic Fuzzy Sets, 23(2), 128–140.
  11. Bureva, V., Sotirova, E., & Panayotov, H. (2015/2016) The intercriteria decision making method to Bulgarian university ranking system, Annual of “Informatics” Section Union of Scientists in Bulgaria, 8, 54–71.
  12. Bureva, V., Sotirova, E., Sotirov, S., & Mavrov, D. (2015) Application of the InterCriteria decision making method to Bulgarian universities ranking. Notes on Intuitionistic Fuzzy Sets, 21(2), 111–117.
  13. India Rankings 2017. National Institutional Ranking Framework Methodology for Ranking of Academic Institutions in India, Ministry of Human Resource Development. Available online: https://www.nirfindia.org/Docs/Ranking_Methodology_And_ Metrics_2017.pdf
  14. Krawczak, M., Bureva, V., Sotirova, E., & Szmidt, E. (2016) Application of the InterCriteria Decision Making Method to Universities Ranking. In: Atanassov, K. et al. (eds) Novel Developments in Uncertainty Representation and Processing. Advances in Intelligent Systems and Computing, vol 401. Springer, Cham, doi: 10.1007/978-3-319-26211-6_31.
  15. Sotirova, E., Bureva, V., Chountas, P., & Krawczak, M. (2016) An application of intercriteria decision making method to the rankings of universities in the United Kingdom. Notes on Intuitionistic Fuzzy Sets, 22(3), 112–119.
  16. Sotirova, E., Bureva V., & Sotirov S. (2016) A Generalized Net Model for Evaluation Process Using InterCriteria Analysis Method in the University. In: Angelov P., Sotirov S. (eds) Imprecision and Uncertainty in Information Representation and Processing. Studies in Fuzziness and Soft Computing, Vol 332. Springer, Cham, doi: 10.1007/978-3-319- 26302-1_23.
  17. Sotirova, E., & Shannon, A. (2015) Application of intercriteria analysis to the rankings of Australian universities. Notes on Intuitionistic Fuzzy Sets, 21(4), 136–142.
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