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Equilibrium Point of Representable Moore Continuous n-Dimensional Interval Fuzzy Negations

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Abstract

n-dimensional interval fuzzy sets are a type of fuzzy sets which consider ordered n-tuples in \([0,1]^n\) as membership degree. This paper considers the notion of representable n-dimensional interval fuzzy negations, in particular, these that are Moore continuous, proposed in a previous paper of the authors, and we study some conditions that guarantee the existence of equilibrium point in classes of representable (Moore continuous) n-dimensional interval fuzzy negations. In addition, we prove that the changing of the dimensions of representable Moore continuous n-dimensional fuzzy negations inherits their equilibrium points.

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Notes

  1. 1.

    In the literature on fuzzy negations had been widely used both terms for the same notion, namely, an element \(e\in [0,1]\) such that \(N(e)=e\), with N being a fuzzy negation. We choice “equilibrium point” over “fixed point” but this not means that we consider the term equilibrium point more correct or better than the fixed point.

References

  1. Acióly, B.M., Bedregal, B.: A quasi-metric topology compatible with inclusion-monotonicity property on interval space. Reliab. Comput. 3(3), 305–313 (1997)

    Article  MathSciNet  Google Scholar 

  2. Bedregal, B., Santos, H.S., Callejas-Bedregal, R.: T-norms on bounded lattices: t-norm morphisms and operators. In: IEEE International Conference on Fuzzy Systems, pp. 22–28 (2006)

    Google Scholar 

  3. Bedregal, B.: On interval fuzzy negations. Fuzzy Sets Syst. 161(17), 2290–2313 (2010)

    Article  MathSciNet  Google Scholar 

  4. Bedregal, B., et al.: Negations generated by bounded lattices t-norms. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012. CCIS, vol. 299, pp. 326–335. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31718-7_34

    Chapter  Google Scholar 

  5. Bedregal, B., et al.: A characterization theorem for t-representable n-dimensional triangular norms. In: Melo-Pinto, P., Couto, P., Serodio, C., Fodor, J., De Baets, B. (eds.) Eurofuse 2011. Advances in Intelligent and Soft Computing, vol. 107, pp. 103–112. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24001-0_11

    Chapter  Google Scholar 

  6. Bedregal, B., Beliakov, G., Bustince, H., Calvo, T., Mesiar, R., Paternain, D.: A class of fuzzy multisets with a fixed number of memberships. Inf. Sci. 189, 1–17 (2012)

    Article  MathSciNet  Google Scholar 

  7. Bedregal, B., Santiago, R.H.N.: Some continuity notions for interval functions and representation. Comput. Appl. Math. 32, 435–446 (2013)

    Article  MathSciNet  Google Scholar 

  8. Bedregal, B., Santiago, R.H.N.: Interval representations, Łukasiewicz implicators and Smets-Magrez axioms. Inf. Sci. 221, 192–200 (2013)

    Article  Google Scholar 

  9. Bedregal, B., Mezzomo, I., Reiser, R.H.S.: n-Dimensional Fuzzy Negations. CoRR abs/1707.08617 (2017)

    Google Scholar 

  10. Bustince, H., Montero, J., Pagola, M., Barrenechea, E., Gomes, D.: A survey of interval-value fuzzy sets. In: Pretrycz, W., Skowron, A., Kreinovich, V. (eds.) Handbook of Granular Computing, pp. 491–515. Wiley, West Sussex (2008). Chapter 22

    Google Scholar 

  11. Bustince, H., Barrenechea, E., Pagola, M., Fernandez, J., Xu, Z., Bedregal, B., Montero, J., Hagras, H., Herrera, F., De Baets, B.: A historical account of types of fuzzy sets and their relationships. IEEE Trans. Fuzzy Syst. 4(1), 179–194 (2016)

    Article  Google Scholar 

  12. Dimuro, G.P., Bedregal, B., Santiago, R.H.N., Reiser, R.H.S.: Interval additive generators of interval t-norms and interval t-conorms. Inf. Sci. 181(18), 3898–3916 (2011)

    Article  MathSciNet  Google Scholar 

  13. Dugundji, J.: Topology, Allyn and Bacon, New York (1966)

    Google Scholar 

  14. Goguen, J.: L-fuzzy sets. J. Math. Anal. Appl. 18, 145–174 (1967)

    Article  MathSciNet  Google Scholar 

  15. Higashi, M., Klir, G.J.: On measure of fuzziness and fuzzy complements. Int. J. Gen Syst 8(3), 169–180 (1982)

    Article  MathSciNet  Google Scholar 

  16. Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Kluwer Academic Publishers, Dordrecht (2000)

    Book  Google Scholar 

  17. Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logics: Theory and Applications. Prentice Halls PTR, Upper Saddle River (1995)

    MATH  Google Scholar 

  18. Mezzomo, I., Bedregal, B., Reiser, R., Bustince, H., Partenain, D.: On \(n\)-dimensional strict fuzzy negations. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 301–307 (2016). https://doi.org/10.1109/FUZZ-IEEE.2016.7737701

  19. Mezzomo, I., Bedregal, B., Reiser, R.H.S.: Natural n-dimensional fuzzy negations for n-dimensional t-norms and t-conorms. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–6 (2017). https://doi.org/10.1109/FUZZ-IEEE.2017.8015506

  20. Mezzomo, I., Bedregal, B.: Moore continuous n-dimensional Interval fuzzy negations. In: WCCI/Fuzz-IEEE 2018 (2018)

    Google Scholar 

  21. Moore, R.E., Kearfott, R.B., Cloud, M.J.: Introduction to Inverval Analysis. Society for Industrial and Applied Mathematics Philadelphia, Philadelphia (2009)

    Book  Google Scholar 

  22. Mukherjee, M.N.: Elements of Space Metrics. Academic Publishers, Kolkata (2005)

    Google Scholar 

  23. Palmeira, E.S., Bedregal, B., Mesiar, R., Fernandez, J.: A new way to extend t-norms, t-conorms and negations. Fuzzy Sets Syst. 240, 1–21 (2014)

    Article  MathSciNet  Google Scholar 

  24. Santiago, R.H.N., Bedregal, B., Acióly, B.M.: Formal aspects of correctness and optimality in interval computations. Form. Asp. Comput. 18(2), 231–243 (2006)

    Article  Google Scholar 

  25. Trillas, E.: Sobre funciones de negación en la teoria de conjuntos difusos. Stochastica 3, 47–59 (1979)

    MathSciNet  Google Scholar 

  26. Wagenknecht, M., Batyrshin, I.: Fixed point properties of fuzzy negations. J. Fuzzy Math. 6, 975–981 (1998)

    MATH  MathSciNet  Google Scholar 

  27. Shang, Y., Yuan, X., Lee, E.S.: The n-dimensional fuzzy sets and Zadeh fuzzy sets based on the finite valued fuzzy sets. Comput. Math. Appl. 60, 442–463 (2010)

    Article  MathSciNet  Google Scholar 

  28. Yager, R.R.: On the theory of bags. Int. J. Gen Syst 13, 23–37 (1986)

    Article  MathSciNet  Google Scholar 

  29. Zadeh, L.A.: Quantitative fuzzy semantics. Inf. Sci. 3, 159–176 (1971)

    Article  MathSciNet  Google Scholar 

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Acknowledgment

This work is supported by Brazilian National Counsel of Technological and Scientific Development CNPq (Proc. 307781/2016-0 and 404382/2016-9).

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Correspondence to Ivan Mezzomo , Benjamín Bedregal or Thadeu Milfont .

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Mezzomo, I., Bedregal, B., Milfont, T. (2018). Equilibrium Point of Representable Moore Continuous n-Dimensional Interval Fuzzy Negations. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_23

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  • DOI: https://doi.org/10.1007/978-3-319-95312-0_23

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