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THE RANKING OF TURKISH UNIVERSITIES WITH COCOSO AND MARCOS

Year 2020, Proceedings of The Third Economics, Business And Organization Research (EBOR) Conference, 374 - 392, 31.12.2020

Abstract

The ranking of universities according to their academic performance is important for both the reputation of the university and the region and country where the university is located. Additionally, universities can have the opportunity to observe their weaknesses and strengths through these rankings and draw a roadmap to improve their performance. Some organizations evaluate the performance of universities. URAP is one of the organizations assessing the performance of universities according to various criteria. The aim of this study is to rank Turkish universities according to their performances based on the 2019-year report published by URAP assessing the performance of 166 universities according to 5 criteria. For this evaluation, CoCoSo and MARCOS methods, which are newly introduced to literature, are used in this study.

References

  • Barua, A., Jeet, S., Bagal, D. K., Satapathy, P. & Agrawal, P. K. (2019). ‘Evaluation of Mechanical Behavior of Hybrid Natural Fiber Reinforced Nano SiC Particles Composite Using Hybrid Taguchi-COCOSO Method’, International Journal of Innovative Technology and Exploring Engineering, 8(10), pp. 3341-3345.
  • https://newtr.urapcenter.org/Rankings/2019-2020 (Accessed: 10 September 2020).
  • Peng, X., Zhang, X. & Luo, Z. (2019). ‘Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation’, Artificial Intelligence Review, 53, pp. 3813-3847.
  • Puška, A., Stojanović, I., Maksimović, A. & Osmanović, N. (2020). ‘Evaluation software of project management used measurement of alternatives and ranking according to compromise solution (MARCOS) method’, Operational Research in Engineering Sciences: Theory and Applications, 3(1), pp. 89-102.
  • Stanković, M., Stević, Ž., Das, D. K., Subotić, M. & Pamučar, D. (2020). ‘A new fuzzy MARCOS method for road traffic risk analysis’, Mathematics, 8(3), 457.
  • Stević, Ž. & Brković, N. (2020). ‘A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company’, Logistics, 4(1), 4.
  • Stević, Ž., Pamučar, D., Puška, A. & Chatterjee, P. (2020). ‘Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)’, Computers & Industrial Engineering, 140, 106231.
  • Ulutaş, A., Karabasevic, D., Popovic, G., Stanujkic, D., Nguyen, P. T. & Karaköy, Ç. (2020). ‘Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System’, Mathematics, 8(10), 1672.
  • Ulutaş, A., Karakuş, C. B. & Topal, A. (2020). ‘Location selection for logistics center with fuzzy SWARA and cocoso methods’, Journal of Intelligent & Fuzzy Systems, 38(4), pp. 4693-4709.
  • Yazdani, M., Zarate, P., Zavadskas, E. K. & Turskis, Z. (2019a). ‘A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems’, Management Decision, 57(9), pp. 2501-2519.
  • Yazdani, M., Wen, Z., Liao, H., Banaitis, A. & Turskis, Z. (2019b). ‘A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management’, Journal of Civil Engineering and Management, 25(8), pp. 858-874.
  • Zolfani, S. H., Chatterjee, P., & Yazdani, M. (2019, May). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model. In International scientific conference in business, management and economics engineering. Vilnius, Lithuania (pp. 797-804).
Year 2020, Proceedings of The Third Economics, Business And Organization Research (EBOR) Conference, 374 - 392, 31.12.2020

Abstract

References

  • Barua, A., Jeet, S., Bagal, D. K., Satapathy, P. & Agrawal, P. K. (2019). ‘Evaluation of Mechanical Behavior of Hybrid Natural Fiber Reinforced Nano SiC Particles Composite Using Hybrid Taguchi-COCOSO Method’, International Journal of Innovative Technology and Exploring Engineering, 8(10), pp. 3341-3345.
  • https://newtr.urapcenter.org/Rankings/2019-2020 (Accessed: 10 September 2020).
  • Peng, X., Zhang, X. & Luo, Z. (2019). ‘Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation’, Artificial Intelligence Review, 53, pp. 3813-3847.
  • Puška, A., Stojanović, I., Maksimović, A. & Osmanović, N. (2020). ‘Evaluation software of project management used measurement of alternatives and ranking according to compromise solution (MARCOS) method’, Operational Research in Engineering Sciences: Theory and Applications, 3(1), pp. 89-102.
  • Stanković, M., Stević, Ž., Das, D. K., Subotić, M. & Pamučar, D. (2020). ‘A new fuzzy MARCOS method for road traffic risk analysis’, Mathematics, 8(3), 457.
  • Stević, Ž. & Brković, N. (2020). ‘A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company’, Logistics, 4(1), 4.
  • Stević, Ž., Pamučar, D., Puška, A. & Chatterjee, P. (2020). ‘Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)’, Computers & Industrial Engineering, 140, 106231.
  • Ulutaş, A., Karabasevic, D., Popovic, G., Stanujkic, D., Nguyen, P. T. & Karaköy, Ç. (2020). ‘Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System’, Mathematics, 8(10), 1672.
  • Ulutaş, A., Karakuş, C. B. & Topal, A. (2020). ‘Location selection for logistics center with fuzzy SWARA and cocoso methods’, Journal of Intelligent & Fuzzy Systems, 38(4), pp. 4693-4709.
  • Yazdani, M., Zarate, P., Zavadskas, E. K. & Turskis, Z. (2019a). ‘A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems’, Management Decision, 57(9), pp. 2501-2519.
  • Yazdani, M., Wen, Z., Liao, H., Banaitis, A. & Turskis, Z. (2019b). ‘A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management’, Journal of Civil Engineering and Management, 25(8), pp. 858-874.
  • Zolfani, S. H., Chatterjee, P., & Yazdani, M. (2019, May). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model. In International scientific conference in business, management and economics engineering. Vilnius, Lithuania (pp. 797-804).
There are 12 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Conference Full Paper Proceedings
Authors

Aşkın Ozdagoglu This is me

Alptekin Ulutas This is me

Murat Kemal Keles This is me

Publication Date December 31, 2020
Published in Issue Year 2020 Proceedings of The Third Economics, Business And Organization Research (EBOR) Conference

Cite

APA Ozdagoglu, A., Ulutas, A., & Keles, M. K. (2020). THE RANKING OF TURKISH UNIVERSITIES WITH COCOSO AND MARCOS. Economics Business and Organization Research374-392.