[1] L.A. Zadeh, Fuzzy Sets , Information and Control, Vol:8, (1965), 338-353.
[2] K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, Vol:20, No:1, (1986), 87-96.
[3] K. Atanassov, Intuitionistic Fuzzy Sets,Theory and Applications, Physica-Verlag Heidelberg, Germany, 1999.
[4] E. Szmidt, J. Kacprzyk, Distances Between Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, Vol:114, No:3, (2000), 505-518.
[5] S. Chen, J. Tan, Handling Multicriteria Fuzzy Decision-Making Problems Based On Vague Set Theory, Fuzzy Sets and Systems, Vol:67, (1994),
163-172.
[6] J. Yen, Improved Method of Multicriteria Fuzzy Decision-Making Based on Vague Sets. Computer-Aided Design, Vol:39, (2007), 164-169.
[7] E. Szmidt, J. Kacprzyk, An Application of Intuitionistic Fuzzy Set Similarity Measures to a Multi-criteria Decision Making Problem, Springer-Verlag
Heidelberg,(2006), 314-323.
[8] V. Nayagam, S. Muralikrishnan, G. Sivaraman, Multi-criteria Decision-Making Method Based on Interval-valued Intuitionistic Fuzzy Sets. Expert
Systems with Applications, Vol:38, (2011), 1464-1467.
[9] M. Majumder, Multi Criteria Decision Making, Springer, Chapter 2,(2015), 35-47.
[10] H. Bangui, M. Ge, B. Buhnova, S. Rakrak, S. Raghay, T. Pitner, Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm,
Journal of Sensor and Actuator Networks, (2017), 6(25).
[11] W.J.M. Kickert, Fuzzy Theories on Decision Making: A Critical Review, Kluwer, Boston, 1978.
Application of Ranking with Similarity Measure in Multi Criteria Decision Making
The aim of this paper is to proposed an application multi criteria decision making in intuitionistic fuzzy sets. Multicriteria decision making is a well known concept that aims to select the best solution among several alternatives in decision making. In this paper; success ranking of schools has been researched in multi criteria decision making. Also the most successful school has been determined among these ranked schools. For this paper have been benefitted from similarity measure for intuitionistic fuzzy sets in multi criteria decision making problem. Each option have been compared with both the positive-ideal solution and the negative-ideal solution. This application could be used in situations that are not dependent on a single criterion.
[1] L.A. Zadeh, Fuzzy Sets , Information and Control, Vol:8, (1965), 338-353.
[2] K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, Vol:20, No:1, (1986), 87-96.
[3] K. Atanassov, Intuitionistic Fuzzy Sets,Theory and Applications, Physica-Verlag Heidelberg, Germany, 1999.
[4] E. Szmidt, J. Kacprzyk, Distances Between Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, Vol:114, No:3, (2000), 505-518.
[5] S. Chen, J. Tan, Handling Multicriteria Fuzzy Decision-Making Problems Based On Vague Set Theory, Fuzzy Sets and Systems, Vol:67, (1994),
163-172.
[6] J. Yen, Improved Method of Multicriteria Fuzzy Decision-Making Based on Vague Sets. Computer-Aided Design, Vol:39, (2007), 164-169.
[7] E. Szmidt, J. Kacprzyk, An Application of Intuitionistic Fuzzy Set Similarity Measures to a Multi-criteria Decision Making Problem, Springer-Verlag
Heidelberg,(2006), 314-323.
[8] V. Nayagam, S. Muralikrishnan, G. Sivaraman, Multi-criteria Decision-Making Method Based on Interval-valued Intuitionistic Fuzzy Sets. Expert
Systems with Applications, Vol:38, (2011), 1464-1467.
[9] M. Majumder, Multi Criteria Decision Making, Springer, Chapter 2,(2015), 35-47.
[10] H. Bangui, M. Ge, B. Buhnova, S. Rakrak, S. Raghay, T. Pitner, Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm,
Journal of Sensor and Actuator Networks, (2017), 6(25).
[11] W.J.M. Kickert, Fuzzy Theories on Decision Making: A Critical Review, Kluwer, Boston, 1978.
Tuğrul, F., Yılmaz, B., & Çitil, M. (2019). Application of Ranking with Similarity Measure in Multi Criteria Decision Making. Konuralp Journal of Mathematics, 7(2), 438-441.
AMA
Tuğrul F, Yılmaz B, Çitil M. Application of Ranking with Similarity Measure in Multi Criteria Decision Making. Konuralp J. Math. Ekim 2019;7(2):438-441.
Chicago
Tuğrul, Feride, Beyhan Yılmaz, ve Mehmet Çitil. “Application of Ranking With Similarity Measure in Multi Criteria Decision Making”. Konuralp Journal of Mathematics 7, sy. 2 (Ekim 2019): 438-41.
EndNote
Tuğrul F, Yılmaz B, Çitil M (01 Ekim 2019) Application of Ranking with Similarity Measure in Multi Criteria Decision Making. Konuralp Journal of Mathematics 7 2 438–441.
IEEE
F. Tuğrul, B. Yılmaz, ve M. Çitil, “Application of Ranking with Similarity Measure in Multi Criteria Decision Making”, Konuralp J. Math., c. 7, sy. 2, ss. 438–441, 2019.
ISNAD
Tuğrul, Feride vd. “Application of Ranking With Similarity Measure in Multi Criteria Decision Making”. Konuralp Journal of Mathematics 7/2 (Ekim 2019), 438-441.
JAMA
Tuğrul F, Yılmaz B, Çitil M. Application of Ranking with Similarity Measure in Multi Criteria Decision Making. Konuralp J. Math. 2019;7:438–441.
MLA
Tuğrul, Feride vd. “Application of Ranking With Similarity Measure in Multi Criteria Decision Making”. Konuralp Journal of Mathematics, c. 7, sy. 2, 2019, ss. 438-41.
Vancouver
Tuğrul F, Yılmaz B, Çitil M. Application of Ranking with Similarity Measure in Multi Criteria Decision Making. Konuralp J. Math. 2019;7(2):438-41.