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International Conference on Intelligent and Fuzzy Systems

INFUS 2019: Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making pp 33–38Cite as

A New Ranking Method for Triangular Intuitionistic Fuzzy Numbers

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1029))

Abstract

A new ranking method based on incircle of intuitionistic fuzzy number for triangular intuitionistic fuzzy number was proposed. The validity of the proposed method was shown by comparing existing ranking methods in the literature. The results were interpreted.

Supported by Eskisehir Technical University Scientific Research Projects (Project Number: 1706F389).

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References

  1. Zadeh, L.A.: Fuzzy sets. Inform. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

  2. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    Article  MathSciNet  Google Scholar 

  3. Chen, S.J., Hwang, C.L.: Fuzzy Multiple Attribute Decision Making. Springer, New York (1992)

    Book  Google Scholar 

  4. Nayagam, V.L.G., Vekateshwari, G., Sivaraman, G.: Ranking of Intuitionistic fuzzy numbers. In: Proceedings of IEEE International Conference of Fuzzy Systems (FUZZ 2008), China, pp. 1971–1974 (2008)

    Google Scholar 

  5. Li, D.-F.: A Ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems. Comput. Math. Appl. 60, 1557–1570 (2010)

    Article  MathSciNet  Google Scholar 

  6. Nehi, H.M.: A new ranking method for intuitonistic fuzzy numbers. Int. J. Fuzzy Syst. 12, 80–86 (2010)

    MathSciNet  Google Scholar 

  7. Dubey, D., Mehra, A.: Linear programming with triangular intuitionistic fuzzy number. In: Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11), pp. 563–569. Atlantis Press, France (2011)

    Google Scholar 

  8. Akyar, E., Akyar, H., Duzce, S.A.: A new method for ranking triangular fuzzy numbers. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 25(5), 729–740 (2012)

    Article  MathSciNet  Google Scholar 

  9. Kumar, A., Kaur, M.: A ranking aprroach for intutitonistic fuzzy numbers and its application. J. Appl. Res. Technol. 11, 381–396 (2013)

    Article  Google Scholar 

  10. Das, S., Guha, D.: Ranking of intuitionistic Fuzzy Number by centroid point. J. Ind. Intell. Inform. 1(2), 107–110 (2013)

    Google Scholar 

  11. Roseline, S.S., Amirtharaj, E.C.H.: A new method for ranking of intuitionistic fuzzy numbers. Indian J. Appl. Res. 3(6), 1–2 (2013)

    Article  Google Scholar 

  12. Rezvani, S.: Ranking method of trapezoidal intuitionistic fuzzy numbers. Ann. Fuzzy Math. Inform. 5(3), 515–523 (2013)

    MathSciNet  MATH  Google Scholar 

  13. Arun, P.K., Suresh, M., Vengataasalam, S.: A new approach for ranking of intuitionistic fuzzy numbers using a centroid concept. Math. Sci. 10(4), 177–184 (2016)

    Article  MathSciNet  Google Scholar 

  14. Kahraman, C., Cevik Onar, S., Cebi, S., Oztaysi, B.: Extension of information axiom from ordinary to intuitionistic fuzzy sets: an application to search algorithm selection. Comput. Ind. Eng. (105), 348–361 (2017)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Eskisehir Technical University, 26120, Eskisehir, Turkey

    Gultekin Atalik & Sevil Senturk

Authors
  1. Gultekin Atalik
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  2. Sevil Senturk
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Corresponding author

Correspondence to Gultekin Atalik .

Editor information

Editors and Affiliations

  1. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  3. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Management Faculty, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  5. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  6. Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

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Atalik, G., Senturk, S. (2020). A New Ranking Method for Triangular Intuitionistic Fuzzy Numbers. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A., Sari, I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-23756-1_6

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