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Comments on Fuzzy Sets, Interval Type-2 Fuzzy Sets, General Type-2 Fuzzy Sets and Intuitionistic Fuzzy Sets

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Recent Advances in Intuitionistic Fuzzy Logic Systems

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 372))

Abstract

In this paper, we introduce specific types of intuitionistic fuzzy sets, inspired by the multi-dimensional intuitionistic fuzzy sets and general type-2 fuzzy sets. The newly proposed sets extend the opportunities of the general type-2 fuzzy sets when modeling particular types of uncertainty. Short comparison between concepts of interval type-2 fuzzy sets and intuitionistic fuzzy sets is presented. In addition, new future directions of research are outlined.

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References

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

    Article  Google Scholar 

  2. J.M. Mendel, X. Liu, Simplified interval Type-2 fuzzy logic systems. IEEE Trans. Fuzzy Syst. 21(6), 1056–1069 (2013)

    Article  Google Scholar 

  3. A. Rizzi, L. Livi, H. Tahayori, A. Sadeghian, Matching general type-2 fuzzy sets by comparing the vertical slices. in 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), pp. 866–871 (2013)

    Google Scholar 

  4. M.A. Sanchez, O. Castillo, J.R. Castro, Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 fuzzy systems. Expert Syst. Appl. 42(14), 5904–5914 (2015)

    Article  Google Scholar 

  5. L. Zhao, Y. Li, Y. Li, Computing with words for discrete general type-2 fuzzy sets based on α plane. in Proceeding of 2013 IEEE International Conference on Vehicular Electronics and Safety, pp. 268–272 (2013)

    Google Scholar 

  6. K. Atanassov, Intuitionistic Fuzzy Sets (Springer, Heidelberg, 1999)

    Book  Google Scholar 

  7. K. Atanassov, On Intuitionistic Fuzzy Sets Theory (Springer, Berlin, 2012)

    Book  Google Scholar 

  8. O. Castillo, P. Melin, R. Tsvetkov, K. Atanassov, Short remark on interval type-2 fuzzy sets and intuitionistic fuzzy sets. J. Notes on Intuitionistic Fuzzy Sets 20(2), 1–5 (2014)

    Google Scholar 

  9. K. Atanassov, E. Szmidt, J. Kacprzyk, On intuitionistic fuzzy multi-dimensional sets. Issues Intuitionistic Fuzzy Sets Generalized Nets 7, 1–6 (2008)

    MATH  Google Scholar 

  10. K. Atanassov, E. Szmidt, J. Kacprzyk, On intuitionistic fuzzy multi-dimensional sets. Part 3. in Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, vol. I: Foundations. (Warsaw, SRI Polish Academy of Sciences, 2010), pp. 19–26

    Google Scholar 

  11. K. Atanassov, E. Szmidt, J. Kacprzyk, On intuitionistic fuzzy multi-dimensional sets. Part 4. J. Notes on Intuitionistic Fuzzy Sets 17(2), 1–7 (2011)

    Google Scholar 

  12. K. Atanassov, E. Szmidt, J. Kacprzyk, P. Rangasamy, On intuitionistic fuzzy multi-dimensional sets. Part 2. In Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Vol. I: Foundations (Academic Publishing House EXIT, Warszawa, 2008), pp. 43–51

    Google Scholar 

  13. J.M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and new directions (Prentice Hall, New Jersey, 2001)

    MATH  Google Scholar 

  14. J.M. Mendel, G.C. Mouzouris, Type-2 fuzzy logic systems. IEEE Trans. Fuzzy Syst. 7, 643–658 (1999)

    Article  Google Scholar 

  15. J.M. Mendel, R.I. Bob John, Type-2 fuzzy sets made simple. IEEE Trans. Fuzzy Syst. 10, 117–127 (2002)

    Article  Google Scholar 

  16. O. Castillo, P. Melin, Intelligent systems with interval type-2 fuzzy logic. Int. J. Innovative Comput. Inf. Control 4(4), 771–783 (2008)

    Google Scholar 

  17. N.R. Cázarez-Castro, L.T. Aguilar, O. Castillo, Designing Type-1 and Type-2 fuzzy logic controllers via fuzzy lyapunov synthesis for nonsmooth mechanical systems. Eng. Appl. Artif. Intell. 25(5), 971–979 (2012)

    Article  Google Scholar 

  18. C. Leal-Ramírez, O. Castillo, P. Melin, A. Rodríguez-Díaz, Simulation of the bird age-structured population growth based on an interval type-2 fuzzy cellular structure. Inf. Sci. 181(3), 519–535 (2011)

    Article  MathSciNet  Google Scholar 

  19. E. Ontiveros-Robles, P. Melin, O. Castillo, Comparative analysis of noise robustness of type 2 fuzzy logic controllers. Kybernetika 54(1), 175–201 (2018)

    MathSciNet  MATH  Google Scholar 

  20. E. Ontiveros-Robles, P. Melin, O. Castillo, New methodology to approximate type-reduction based on a continuous root-finding karnik mendel algorithm. Algorithms 10(3), 77 (2017)

    Article  MathSciNet  Google Scholar 

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Correspondence to Oscar Castillo .

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Castillo, O., Atanassov, K. (2019). Comments on Fuzzy Sets, Interval Type-2 Fuzzy Sets, General Type-2 Fuzzy Sets and Intuitionistic Fuzzy Sets. In: Melliani, S., Castillo, O. (eds) Recent Advances in Intuitionistic Fuzzy Logic Systems. Studies in Fuzziness and Soft Computing, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-02155-9_3

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