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Year 2019, Volume: 7 Issue: 2, 438 - 441, 15.10.2019

Abstract

References

  • [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

Year 2019, Volume: 7 Issue: 2, 438 - 441, 15.10.2019

Abstract

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.

References

  • [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.
There are 11 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Feride Tuğrul 0000-0001-7690-8080

Beyhan Yılmaz

Mehmet Çitil 0000-0003-3899-3434

Publication Date October 15, 2019
Submission Date April 30, 2019
Acceptance Date August 20, 2019
Published in Issue Year 2019 Volume: 7 Issue: 2

Cite

APA 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. October 2019;7(2):438-441.
Chicago Tuğrul, Feride, Beyhan Yılmaz, and Mehmet Çitil. “Application of Ranking With Similarity Measure in Multi Criteria Decision Making”. Konuralp Journal of Mathematics 7, no. 2 (October 2019): 438-41.
EndNote Tuğrul F, Yılmaz B, Çitil M (October 1, 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, and M. Çitil, “Application of Ranking with Similarity Measure in Multi Criteria Decision Making”, Konuralp J. Math., vol. 7, no. 2, pp. 438–441, 2019.
ISNAD Tuğrul, Feride et al. “Application of Ranking With Similarity Measure in Multi Criteria Decision Making”. Konuralp Journal of Mathematics 7/2 (October 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 et al. “Application of Ranking With Similarity Measure in Multi Criteria Decision Making”. Konuralp Journal of Mathematics, vol. 7, no. 2, 2019, pp. 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.
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