International Journal of Neutrosophic Science

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https://doi.org/10.54216/IJNS

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2690-6805ISSN (Online) 2692-6148ISSN (Print)

Volume 23 , Issue 4 , PP: 23-28, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

Secondary K-Range Symmetric Neutrosophic Fuzzy Matrices

M. Anandhkumar 1 , H. Prathab 2 , S. M. Chithra 3 , A. S. Prakaash 4 , A. Bobin 5

  • 1 Department of Mathematics, IFET College of Engineering (Autonomous), Villupuram, Tamilnadu, India. - (anandhkumarmm@gmail.com)
  • 2 Department of Mathematics, Saveetha Engineering College, Thandalam,Chennai,Tamilnadu, India. - (prathab1983@gmail.com)
  • 3 Department of Mathematics, R.M.K College of Engineering and Technology, Chennai, Tamilnadu, India. - (chithra.sm@rmkcet.ac.in)
  • 4 Department of Mathematics, Panimalar Engineering College, poonamallee, Chennai, Tamilnadu, India - (prakaashphd333@gmail.com)
  • 5 Department of Mathematics, IFET College of Engineering (Autonomous), Villupuram, Tamilnadu, India. - ( bobinalbert@gmail.com)
  • Doi: https://doi.org/10.54216/IJNS.230402

    Received: July 19, 2023 Revised: November 22, 2023 Accepted: February 21, 2024
    Abstract

    This paper introduces and explores the concept of secondary k-Range Symmetric (RS) Neutrosophic Fuzzy Matrices (NFM) and establishes its properties and relationships with other symmetric and secondary symmetric NFMs. The study defines secondary k-RS NFMs and provides insightful numerical examples to illustrate their characteristics. The paper investigates the interconnections among s-k-RS, s-RS, k-RS, and RS NFMs, discuss on their mutual relations. Additionally, the necessary and sufficient conditions for a given NFM to qualify as a s-k-RS NFM are identified. The research demonstrates that k-symmetry implies k-RS, and vice versa, contributing to a comprehensive understanding between different types of symmetries in NFMs. Graphical representations of RS, column symmetric, and kernel symmetric adjacency and incidence NFMs are presented, unveiling intriguing patterns and relationships. While every adjacency NFM is symmetric, range symmetric, column symmetric, and kernel symmetric, the incidence matrix satisfies only kernel symmetric conditions. The study further establishes that every range symmetric adjacency NFM is a kernel symmetric adjacency NFM, though the converse does not hold in general. The existence of multiple generalized inverses of NFMs in Fn is explored, with additional equivalent conditions for certain g-inverses of s-κ-RS NFMs to retain the s-κ-RS property. We conclude by characterizing the generalized inverses belonging to specific sets {1, 2}, {1, 2, 3}, and {1, 2, 4} of s-k-RS NFMs, providing a comprehensive framework for understanding the structure and properties of secondary k-Range Symmetric Neutrosophic Fuzzy Matrices. This research contributes to the mathematical literature by introducing a novel class of NFMs and establishing their fundamental properties and relationships, presenting new perspectives on matrix theory in the context of neutrosophic fuzzy logic.

     

    Keywords :

    Neutrosophic fuzzy matrices , s- Range symmetric , Adjacency Neutrosophic fuzzy matrices , Incidence Neutrosophic fuzzy matrices , Moore penrose inverse.

    References

    [1] Zadeh L.A., Fuzzy Sets, Information and control.,(1965),8, pp. 338-353.

    [2] AR.Meenakshi, Fuzzy Matrix: Theory and Applications, MJP Publishers, Chennai, 2008.

    [3] D.Jaya shree , Secondary κ-Kernel Symmetric Fuzzy Matrices, Intern. J. Fuzzy Mathematical Archive Vol. 5, No. 2, (2014), 89-94.

    [4] A. K. Shyamal and M. Pal, Interval valued Fuzzy matrices, Journal of Fuzzy Mathematics 14(3) (2006), 582-592.

     [5] An Lee, Secondary Symmetric, Secondary Skew Symmetric, Secondary Orthogonal Matrices, Period Math, Hungary, 7 (1976), 63-76.

    [6] C.Antonio and B.Paul, Properties of the eigen vectors of persymmetric matrices with applications to communication theory, IEEE Trans. Comm., 24, (1976), 804 –809.

    [7] K. H. Kim and F. W. Roush, Generalized fuzzy matrices, Fuzzy Sets and Systems, (1980), 4(3), 293-315.

    [8] R.D. Hill and S.R.Waters, On k-Real and k-Hermitian matrices, Linear Algebra and its Applications, 169, (1992), 17-29.

    [9] AR.Meenakshi and S.Krishanmoorthy, On Secondary k-Hermitian matrices, Journal of Modern Science, 1, (2009), 70-78.

    [10] AR. Meenakshi, S.Krishnamoorthy and G.Ramesh, On s-k-EP matrices, Journal of Intelligent System Research, 2, (2008), 93-100.

    [11] AR.Meenakshi and D.Jaya Shree, On k-kernel symmetric matrices, International Journal of Mathematics and Mathematical Sciences, 2009, Article ID 926217, 8 Pages.

    [12] D.Jaya shree , Secondary κ-Kernel Symmetric Fuzzy Matrices, Intern. J. Fuzzy Mathematical Archive Vol. 5, No. 2, 2014, 89-94 ISSN: 2320 –3242 (P), 2320 –3250, Published on 20 December 2014.

    [13] AR.Meenakshi and D.Jaya Shree, On   k -range symmetric matrices, Proceedings of the National conference on Algebra and Graph Theory, MS University, (2009), 58- 67.

    [14] A. K. Shyamal and M. Pal, Interval valued Fuzzy matrices, Journal of Fuzzy Mathematics, 14(3) (2006), 582-592.

    [15] A. R. Meenakshi and M. Kalliraja, Regular Interval valued Fuzzy matrices, Advance in Fuzzy Mathematics, 5(1), (2010), 7-15.

    [16] Atanassov K., Intuitionistic Fuzzy Sets, Fuzzy Sets and System. (1983), 20, pp. 87- 96.

    [17] Smarandache,F, Neutrosophic set, a generalization of the intuitionistic fuzzy set. Int J Pure Appl Math., (2005),.24(3):287–297.

    [18]M.Anandhkumar; G.Punithavalli; T.Soupramanien; Said Broumi, Generalized Symmetric Neutrosophic Fuzzy Matrices, Neutrosophic Sets and Systems, Vol. 57,2023, 57, pp. 114–127.

    [19] M. Anandhkumar ,T. Harikrishnan,S. M. Chithra,V. Kamalakannan,B. Kanimozhi. "Partial orderings, Characterizations and Generalization of k idempotent Neutrosophic fuzzy matrices." International Journal of Neutrosophic Science, Vol. 23, No. 2, 2024, PP. 286-295.

    [20] AR.Meenakshi and D.Jaya Shree, On k-kernel symmetric matrices, International Journal of Mathematics and Mathematical Sciences, 2009, Article ID 926217, 8 Pages.

    [21] AR.Meenakshi and S.Krishanmoorthy, On Secondary k-Hermitian matrices, Journal of Modern Science, 1 (2009) 70-78.

    [22] AR.Meenakshi and D.Jaya Shree, On   K -range symmetric matrices, Proceedings of the National conference on Algebra and Graph Theory, MS University, (2009), 58- 67.

    [23] M. Anandhkumar , Said Broumi, Characterization of Fuzzy, Intuitionistic Fuzzy and Neutrosophic Fuzzy Matrices, Commun. Combin., Cryptogr. & Computer Sci., 1 (2024), 37–51.

    [24] A. K. Shyamal and M. Pal, Interval valued Fuzzy matrices, Journal of Fuzzy Mathematics 14(3) (2006), 582-592.

    [25] A. R. Meenakshi and M. Kalliraja, Regular Interval valued Fuzzy matrices, Advance in Fuzzy Mathematics 5(1) (2010), 7-15.

     [26] G.Punithavalli and M.Anandhkumar “Kernal and k-kernal Intuitionistic Fuzzy matrices” Accepted in TWMS Journal 2022.

    [27]D. Jaya Shree, Secondary κ-range symmetric fuzzy matrices, Journal of Discrete Mathematical Sciences and Cryptography 21(1):1-11,2018.

    [28] M. Anandhkumar; G. Punithavalli; T. Soupramanien; Said Broumi, Generalized Symmetric Neutrosophic Fuzzy Matrices, Neutrosophic Sets and Systems, Vol. 57,2023, 57, pp. 114–12.

    [29] M. Kaliraja And T. Bhavani, Interval Valued Secondary k-Range Symmetric Fuzzy Matrices, Advances and Applications in Mathematical Sciences Volume 21, Issue 10, August 2022, Pages 5555-5574.

    [30] Baskett T. S., and Katz I. J., Theorems on products of EPr matrices,” Linear Algebra and its Applications, 2, (1969), 87–103.

    [31] Meenakshi AR., and Krishanmoorthy S, on Secondary k-Hermitian matrices, Journal of Modern Science, 1,  (2009), 70-78.

    [32] Meenakshi AR., Krishnamoorthy S., and Ramesh G., on s-k-EP matrices”, Journal of Intelligent System Research, 2, (2008), 93-100.

    [33] Meenakshi AR., and Krishanmoorthy S, on Secondary k-Hermitian matrices, Journal of Modern Science, 1, (2009), 70-78.

    [34] Meenakshi AR., and Krishnamoorthy S, on κ-EP matrices, Linear Algebra and its Applications, 269, ( 1998), 219–232.

    [35] Shyamal A. K., and Pal. M., Interval valued Fuzzy matrices, Journal of Fuzzy Mathematics 14(3), (2006) , 582-592.

    [36] Ann Lec,Secondary symmetric and skew symmetric secondary orthogonal matrices (i) Period, Math Hungary, 7,(1976), 63-70.

    [37] Elumalai N., and Rajesh kannan K, k - Symmetric Circulant, s - Symmetric Circulant and s – k Symmetric Circulant Matrices, Journal of ultra-scientist of physical sciences, 28 (6), (2016), 322-327.

    [38] Elumalai. N., and Arthi B., Properties of k - CentroSymmetric and k – Skew CentroSymmetric Matrices, International Journal of Pure and Applied Mathematics, 10, (2017), 99-106.

    [39] Gunasekaran K., and Mohana N., k-symmetric Double stochastic, s-symmetric Double stochastic,s-k-symmetric Double stochastic Matrices, International Journal of Engineering Science Invention, (2014), 3 (8).

    [40] M.Anandhkumar. B.Kanimozhi, V.Kamalakannan, S.M.Chitra, and Said Broumi, On various Inverse of Neutrosophic Fuzzy Matrices, International Journal of Neutrosophic Science, Vol. 21, No. 02, (2023), PP. 20-31,

    [41] M. Anandhkumar ,T. Harikrishnan, S. M. Chithra , V. Kamalakannan , B. Kanimozhi , Broumi Said ,Reverse Sharp and Left-T Right-T Partial Ordering on Neutrosophic Fuzzy Matrices, International Journal of Neutrosophic Science, Vol. 21, No. 04, PP. (2023),135-145,

    [42] M.Anandhkumar, B.Kanimozhi, S.M. Chithra, V.Kamalakannan, .Reverse Tilde (T) and Minus Partial Ordering on Intuitionistic Fuzzy Matrices, Mathematical Modelling of Engineering Problems, (2023), 10(4), pp. 1427–1432.

    [43] M. Anandhkumar.; G. Punithavalli; R. Jegan; and Said Broumi, "Interval Valued Secondary k-Range Symmetric Neutrosophic Fuzzy Matrices." Neutrosophic Sets and Systems 61, (2024), 1.

    [44] V. Anandan, G.Uthra , A modified Fuzzy Topisis method using cosine similarities and ochiai coefficients, January 2018.

    [45] V. Anandan, G.Manimaran, G.Uthra, response optimization of machining parameters using vikor method under fuzzy environment ,January 2016.

    [46] M. Anandhkumar. V.Kamalakannan, S.M.Chitra, and Said Broumi, Pseudo Similarity of Neutrosophic Fuzzy matrices, International Journal of Neutrosophic Science, Vol. 20, No. 04, PP. 191-196, 2023 .

    [47] M. Anandhkumar.; G. Punithavalli, and E.Janaki, secondary k-column symmetric Neutrosophic Fuzzy Matrices, ." Neutrosophic Sets and Systems 64, (2024), PP: 24-37.

    [48] A.Bobin, P.Thangaraja, H.Prathab and S.Thayalan, Decision Making using cubic Hypersoft Topsis Method, Journal Appl.Math&Informatics,41(5),2023.

    Cite This Article As :
    Anandhkumar, M.. , Prathab, H.. , M., S.. , S., A.. , Bobin, A.. Secondary K-Range Symmetric Neutrosophic Fuzzy Matrices. International Journal of Neutrosophic Science, vol. , no. , 2024, pp. 23-28. DOI: https://doi.org/10.54216/IJNS.230402
    Anandhkumar, M. Prathab, H. M., S. S., A. Bobin, A. (2024). Secondary K-Range Symmetric Neutrosophic Fuzzy Matrices. International Journal of Neutrosophic Science, (), 23-28. DOI: https://doi.org/10.54216/IJNS.230402
    Anandhkumar, M.. Prathab, H.. M., S.. S., A.. Bobin, A.. Secondary K-Range Symmetric Neutrosophic Fuzzy Matrices. International Journal of Neutrosophic Science , no. (2024): 23-28. DOI: https://doi.org/10.54216/IJNS.230402
    Anandhkumar, M. , Prathab, H. , M., S. , S., A. , Bobin, A. (2024) . Secondary K-Range Symmetric Neutrosophic Fuzzy Matrices. International Journal of Neutrosophic Science , () , 23-28 . DOI: https://doi.org/10.54216/IJNS.230402
    Anandhkumar M. , Prathab H. , M. S. , S. A. , Bobin A. [2024]. Secondary K-Range Symmetric Neutrosophic Fuzzy Matrices. International Journal of Neutrosophic Science. (): 23-28. DOI: https://doi.org/10.54216/IJNS.230402
    Anandhkumar, M. Prathab, H. M., S. S., A. Bobin, A. "Secondary K-Range Symmetric Neutrosophic Fuzzy Matrices," International Journal of Neutrosophic Science, vol. , no. , pp. 23-28, 2024. DOI: https://doi.org/10.54216/IJNS.230402