Research article Special Issues

On the stability of two functional equations for $ (S, N) $-implications

  • Received: 29 August 2020 Accepted: 29 November 2020 Published: 01 December 2020
  • MSC : 03E72, 39B82

  • The iterative functional equation $ \alpha\rightarrow(\alpha\rightarrow \beta) = \alpha\rightarrow \beta $ and the law of importation $ (\alpha\wedge \beta)\rightarrow \gamma = \alpha\rightarrow (\beta\rightarrow \gamma) $ are two tautologies in classical logic. In fuzzy logics, they are two important properties, and are respectively formulated as $ I(\alpha, \beta) = I(\alpha, I(\alpha, \beta)) $ and $ I(T(\alpha, \beta), \gamma) = I(\alpha, I(\beta, \gamma)) $ where $ I $ is a fuzzy implication and $ T $ is a $ t $-norm. Over the past several years, solutions to these two functional equations involving different classes of fuzzy implications have been studied. However, there are no results about stability study of fuzzy functional equations involving fuzzy implication. This paper discusses fuzzy implications that do not strictly satisfying these equations, but approximately satisfy these equations. Then we establish the Hyers-Ulam stability of the iterative functional equation involving the $ (S, N) $-implication, where the $ (S, N) $-implication is a common class of fuzzy implications generated by a continuous $ t $-conorm $ S $ and a continuous fuzzy negation $ N $. Furthermore, given a fixed $ t $-norm (the minimum $ t $-norm or the product $ t $-norm) the Hyers-Ulam stability of the law of importation involving the $ (S, N) $-implication is studied.

    Citation: Sizhao Li, Xinyu Han, Dapeng Lang, Songsong Dai. On the stability of two functional equations for $ (S, N) $-implications[J]. AIMS Mathematics, 2021, 6(2): 1822-1832. doi: 10.3934/math.2021110

    Related Papers:

  • The iterative functional equation $ \alpha\rightarrow(\alpha\rightarrow \beta) = \alpha\rightarrow \beta $ and the law of importation $ (\alpha\wedge \beta)\rightarrow \gamma = \alpha\rightarrow (\beta\rightarrow \gamma) $ are two tautologies in classical logic. In fuzzy logics, they are two important properties, and are respectively formulated as $ I(\alpha, \beta) = I(\alpha, I(\alpha, \beta)) $ and $ I(T(\alpha, \beta), \gamma) = I(\alpha, I(\beta, \gamma)) $ where $ I $ is a fuzzy implication and $ T $ is a $ t $-norm. Over the past several years, solutions to these two functional equations involving different classes of fuzzy implications have been studied. However, there are no results about stability study of fuzzy functional equations involving fuzzy implication. This paper discusses fuzzy implications that do not strictly satisfying these equations, but approximately satisfy these equations. Then we establish the Hyers-Ulam stability of the iterative functional equation involving the $ (S, N) $-implication, where the $ (S, N) $-implication is a common class of fuzzy implications generated by a continuous $ t $-conorm $ S $ and a continuous fuzzy negation $ N $. Furthermore, given a fixed $ t $-norm (the minimum $ t $-norm or the product $ t $-norm) the Hyers-Ulam stability of the law of importation involving the $ (S, N) $-implication is studied.


    加载中


    [1] B. Jayaram, On the law of importation $(x\wedge y) \rightarrow z \equiv (x \rightarrow (y \rightarrow z))$ in fuzzy logic, IEEE Trans. Fuzzy Syst., 16 (2008), 130-144. doi: 10.1109/TFUZZ.2007.895969
    [2] E. Kerre, M. Nachtegael, Fuzzy techniques in image processing, New York: Springer-Verlag, 2000.
    [3] Y. Shi, D. Ruan, E. E. Kerre, On the characterization of fuzzy implications satisfying I(x, y) = I(x, I(x, y)), Inf. Sci., 177 (2007), 2954-2970.
    [4] A. Xie, F. Qin, Solutions to the function equation I(x, y) = I(x, I(x, y)) for a continuous Doperation, Inf. Sci., 180 (2010), 2487-2497.
    [5] S. Massanet, J. Torrens, Some remarks on the solutions to the functional equation I(x, y) = I(x, I(x, y)) for D-operations, In: E. Hüllermeier, R. Kruse, F. Hoffmann, Eds., Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, In: Commun. Comput. Inf. Sci., vol. 80, Springer, Berlin/Heidelberg, 2010,666-675.
    [6] A. Xie, F. Qin, Solutions to the functional equation I(x, y) = I(x, I(x, y)) for three types of fuzzy implications derived from uninorms, Inf. Sci., 186 (2012), 209-221.
    [7] M. Mas, M. Monserrat, J. Torrens, The law of importation for discrete implications, Inf. Sci., 179 (2009), 4208-4218. doi: 10.1016/j.ins.2009.08.028
    [8] M. Mas, M. Monserrat, A characterization of (U, N), RU, QL and D-implications derived from uninorms satisfying the law of importation, Fuzzy Sets Syst., 161 (2010), 1369-1387.
    [9] S. Massanet, J. Torrens, Characterization of fuzzy implication functions with a continuous natural negation satisfying the law of importation with a fixed t-Norm, IEEE Trans. Fuzzy Syst., 25 (2017), 100-113. doi: 10.1109/TFUZZ.2016.2551285
    [10] S. Massanet, D. Ruiz-Aguilera, J. Torrens, Characterization of a class of fuzzy implication functions satisfying the law of importation with respect to a fixed uninorm-Part I. IEEE Trans. Fuzzy Syst., 26 (2018), 1983-1994.
    [11] S. Massanet, D. Ruiz-Aguilera, J. Torrens, Characterization of a class of fuzzy implication functions satisfying the law of importation with respect to a fixed uninorm-Part Ⅱ. IEEE Trans. Fuzzy Syst., 26 (2018), 1995-2003.
    [12] S. M. Ulam, Problems in Modern Mathematics, Chapter VI, Science Editions, Wiley, New York, 1964.
    [13] D. H. Hyers, On the stability of the linear functional equation, Proc. Nat. Acad. Sci. U.S.A., 27 (1941), 222-224. doi: 10.1073/pnas.27.4.222
    [14] N. R. Vemuri, B. Jayaram, Fuzzy implications: Novel generation process and the consequent algebras, In: Advances on Computational Intelligence-14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012. Proceedings, Part Ⅱ, 365-374.
    [15] A. K. Mirmostafaee, M. Mirzavaziri, M. S. Moslehian, Fuzzy stability of the Jensen functional equation, Fuzzy Sets Syst., 159 (2008), 730-738.
    [16] A. K. Mirmostafaee, M. S. Moslehian, Fuzzy versions of Hyers-Ulam-Rassias theorem, Fuzzy Sets Syst., 159 (2008), 720-729. doi: 10.1016/j.fss.2007.09.016
    [17] H. Zhou, Characterizations of fuzzy implications generated by continuous multiplicative generators of T-norms, IEEE Trans. Fuzzy Syst., 2020, doi: 10.1109/TFUZZ.2020.3010616. doi: 10.1109/TFUZZ.2020.3010616
    [18] C. I. Kim, G. Han, Fuzzy stability for a class of cubic functional equations, J. Intell. Fuzzy Syst., 33 (2017), 3779-3787. doi: 10.3233/JIFS-17674
    [19] J. R. Wu, Z. Y. Jin, A note on Ulam stability of some fuzzy number-valued functional equations, Fuzzy Sets Syst., 375 (2019), 191-195, . doi: 10.1016/j.fss.2018.10.018
    [20] H. Koh, D. Kang, On the fuzzy stability problem of generalized cubic mappings, J. Intell. Fuzzy Syst., 32 (2017), 2477-2484. doi: 10.3233/JIFS-16460
    [21] T. Z. Xu, On fuzzy approximately cubic type mapping in fuzzy Banach spaces, Inf. Sci., 278 (2014), 56-66. doi: 10.1016/j.ins.2014.03.019
    [22] Y. H. Shen, On the Ulam stability of first order linear fuzzy differential equations under generalized differentiability, Fuzzy Sets Syst., 280 (2015), 27-57. doi: 10.1016/j.fss.2015.01.002
    [23] M. Baczyński, B. Jayaram, Fuzzy Implications, Springer, Berlin Heidelberg, 2008.
    [24] E. P. Klement, R. Mesiar, E. Pap, Triangular Norms, Kluwer Academic Publishers, Dordrecht, 2000
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2922) PDF downloads(233) Cited by(2)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog