An Application of Multi Criteria Decision Making: Ranking of School Success

Year 2019, , 45 - 50, 22.03.2019

Mehmet Çitil , Feride Tuğrul , Beyhan Yılmaz

https://doi.org/10.18466/cbayarfbe.442031

Abstract

Decision making is the action of choosing
between two or more options. Multicriteria decision making is a well-known
concept that aims to select the best solution among several alternatives in
decision making. For this paper have been benefitted from similarity measure
for intuitionistic fuzzy sets in multi criteria decision making problem. This
application is a method that gives very important and rational results in
decision making. In this paper; success ranking of schools has been researched
in multi criteria decision making. The aim of this study is to propose an
application multi criteria decision making in intuitionistic fuzzy sets. Also
from year to year ranking of school success has been determined with multi
criteria decision making. Annual change of success of each school has been
investigated. This paper is the first research that evaluates with application
and offers suggestions in education. This application has been implemented for
the first time in Turkey to achieve more consistent and better results. This
study is not an educational research, only is an application made in the field
of intuitionistic fuzzy logic.

Keywords

decision making, multi criteria, Intuitionistic fuzzy sets, similarity measure, multi criteria

References

• 1. Zadeh, L, A, 1965. Fuzzy Sets. Information and Control; 8: 338-353.
• 2. Atanassov, K, 1986. Intuitionistic fuzzy set. Fuzzy Sets and Systems; 20(1): 87-96.
• 3. Majumder, M, 2015. Multi Criteria Decision Making, Springer; 2: 35-47.
• 4. Kickert, W, J, M, Fuzzy Theories on Decision Making: A Critical Review, Kluwer, Boston, 1978.
• 5. Szmidt, E, Kacprzyk, J, 2006. An Application of Intuitionistic Fuzzy Set Similarity Measures to a Multi-criteria Decision Making Problem. Springer-Verlag Heidelberg; 314-323.
• 6. Chen, S, Tan, J, 1994. Handling Multicriteria Fuzzy Decision-Making Problems Based On Vague Set Theory. Fuzzy Sets and Systems; 67: 163-172.
• 7. Atanassov, K, Intuitionistic Fuzzy Sets, Theory and Applications, Physica-Verlag Heidelberg, Germany, 1999; pp 319.
• 8. Szmidt, E, Kacprzyk, J, 2000. Distances between Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems; 114(3): 505-518.
• 9. Yen, J, 2007. Improved Method of Multicriteria Fuzzy Decision-Making Based on Vague Sets. Computer-Aided Design; 39: 164-169.
• 10. Nayagam, V, Muralikrishnan, S, Sivaraman, G, 2011. Multi-criteria Decision-Making Method Based on Interval-valued Intuitionistic Fuzzy Sets. Expert Systems with Applications; 38: 1464-1467.
• 11. Bangui, H, Ge, M, Buhnova, B, Rakrak, S, Raghay, S, Pitner, T, 2017. Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm, Journal of Sensor and Actuator Networks; 6(4): 25.