Research article

Picture fuzzy sub-hyperspace of a hyper vector space and its application in decision making problem

  • Received: 29 December 2021 Revised: 31 March 2022 Accepted: 10 April 2022 Published: 17 May 2022
  • MSC : 08A72

  • In this paper, the notion of picture fuzzy sub-hyperspace of a hyper vector space is introduced and some related results are investigated on the basis of some basic operations (intersection, union, Cartesian product etc.) on picture fuzzy sets. The concept of picture fuzzy linear transformation with respect to some picture fuzzy sub-hyperspace is initiated here and some important results are studied in this regard. It is shown that with respect to some pre-assumed picture fuzzy sub-hyperspace, linear combination of two picture fuzzy linear transformations is a picture fuzzy linear transformation, composition of two picture fuzzy linear transformations is a picture fuzzy linear transformation and inverse of a bijective picture fuzzy linear transformation is a picture fuzzy linear transformation. The effect of good linear transformation on picture fuzzy sub-hyperspaces is discussed here. It is shown that the image of a picture fuzzy sub-hyperspace is a picture fuzzy sub-hyperspace under bijective good linear transformation and the inverse image of a picture fuzzy sub-hyperspace is a picture fuzzy sub-hyperspace under good linear transformation. Some important results on picture fuzzy sub-hyperspaces in the light of $ (\theta, \phi, \psi) $-cut of picture fuzzy set are studied here. Finally, an application of picture fuzzy sub-hyperspace conditions in decision making problem is presented here.

    Citation: Shovan Dogra, Madhumangal Pal, Qin Xin. Picture fuzzy sub-hyperspace of a hyper vector space and its application in decision making problem[J]. AIMS Mathematics, 2022, 7(7): 13361-13382. doi: 10.3934/math.2022738

    Related Papers:

  • In this paper, the notion of picture fuzzy sub-hyperspace of a hyper vector space is introduced and some related results are investigated on the basis of some basic operations (intersection, union, Cartesian product etc.) on picture fuzzy sets. The concept of picture fuzzy linear transformation with respect to some picture fuzzy sub-hyperspace is initiated here and some important results are studied in this regard. It is shown that with respect to some pre-assumed picture fuzzy sub-hyperspace, linear combination of two picture fuzzy linear transformations is a picture fuzzy linear transformation, composition of two picture fuzzy linear transformations is a picture fuzzy linear transformation and inverse of a bijective picture fuzzy linear transformation is a picture fuzzy linear transformation. The effect of good linear transformation on picture fuzzy sub-hyperspaces is discussed here. It is shown that the image of a picture fuzzy sub-hyperspace is a picture fuzzy sub-hyperspace under bijective good linear transformation and the inverse image of a picture fuzzy sub-hyperspace is a picture fuzzy sub-hyperspace under good linear transformation. Some important results on picture fuzzy sub-hyperspaces in the light of $ (\theta, \phi, \psi) $-cut of picture fuzzy set are studied here. Finally, an application of picture fuzzy sub-hyperspace conditions in decision making problem is presented here.



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    [1] L. A. Zadeh, Fuzzy sets, Inf. Control, 8 (1965), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X doi: 10.1016/S0019-9958(65)90241-X
    [2] A. K. Katsaras, D. B. Liu, Fuzzy vector spaces and topological vector spaces, J. Math. Anal. Appl., 58 (1977), 135–146. https://doi.org/10.1016/0022-247X(77)90233-5 doi: 10.1016/0022-247X(77)90233-5
    [3] P. Das, Fuzzy vector spaces under triangular norms, Fuzzy Set. Syst., 25 (1988), 73–85. https://doi.org/10.1016/0165-0114(88)90101-7 doi: 10.1016/0165-0114(88)90101-7
    [4] R. Kumar, Fuzzy vector spaces and fuzzy cosets, Fuzzy Set. Syst., 45 (1992), 109–116. https://doi.org/10.1016/0165-0114(92)90097-N doi: 10.1016/0165-0114(92)90097-N
    [5] S. K. Das, S. A. Edalatpanah, New insight on solving fuzzy linear fractional programming in material aspects, Fuzzy Optim. Model., 1 (2020), 1–7.
    [6] A. Ebrahimnejad, An improved approach for solving fuzzy transportation problem with triangular fuzzy numbers, J. Intell. Fuzzy Syst., 29 (2015), 963–974. https://doi.org/10.3233/IFS-151625 doi: 10.3233/IFS-151625
    [7] Ebrahimnejad, S. H. Nasseri, Linear programmes with trapezoidal fuzzy numbers: A duality approach, Int. J. Oper. Res., 13 (2012), 67–89. https://doi.org/10.1504/IJOR.2012.044028 doi: 10.1504/IJOR.2012.044028
    [8] Ebrahimnejada, J. L. Verdagay, A novel approach for sensitivity analysis in linear programs with trapezoidal fuzzy numbers, J. Intell. Fuzzy Syst., 27 (2014), 173–185. https://doi.org/10.3233/IFS-130987 doi: 10.3233/IFS-130987
    [9] F. Marty, Sur une generalization de la notion de groupe, Proccedings of the 8th Congress des Mathematicians Scandinaves, Stockholm, Sweden (1934), 45–49.
    [10] P. Corsini, Prolegomena of Hypergroup Theory, Aviani Editor, Udine, Italy, 2Eds, 1993.
    [11] P. Corsini, V. Leoreanu, Applications of hyperstructure theory, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2003. https://doi.org/10.1007/978-1-4757-3714-1
    [12] T. Vougiuklis, Hyperstructures and their representations, Hadronic Press, Palm Harbor, Fla, USA, 1994.
    [13] B. Davvaz, Fuzzy $Hv$-groups, Fuzzy Set. Syst., 101 (1999), 191–195. https://doi.org/10.1016/S0165-0114(97)00071-7 doi: 10.1016/S0165-0114(97)00071-7
    [14] B. Davvaz, Fuzzy $Hv$-submodules, Fuzzy Set. Syst., 117 (2001), 477–484. https://doi.org/10.1155/2008/295649https://doi.org/10.1016/S0165-0114(98)00366-2
    [15] M. S. Tallini, Hyper vector spaces, Proceeding of the 4th International Congress in Algebraic Hyperstructures and Applications, Xanthi, Greece (1990), 167–174.
    [16] R. Ameri, O. R. Dehghan, Fuzzy hyper vector spaces, Adv, Fuzzy Syst., 2008 (2008). https://doi.org/10.1155/2008/295649 doi: 10.1155/2008/295649
    [17] K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy set. Syst., 20 (1986), 87–96. https://doi.org/10.1016/S0165-0114(86)80034-3 doi: 10.1016/S0165-0114(86)80034-3
    [18] B. C. Cuong, V. Kreinovich, Picture fuzzy sets–a new concept for computational intelligence problems, Proceedings of the Third World Congress on Information and Communication Technologies WIICT, (2013). https://doi.org/10.1109/WICT.2013.7113099 doi: 10.1109/WICT.2013.7113099
    [19] P. H. Phong, D. T. Hieu, R. H. Ngan, P. H. Them, Some compositions of picture fuzzy relations, Proceedings of the 7th National Conference on Fundamental and Applied Information Technology Research, (2014).
    [20] L. H. Son, Generalized picture distance measure and applications to picture fuzzy clustering, Appl. Soft Comput. J., 46 (2016), 284–295. https://doi.org/10.1016/j.asoc.2016.05.009 doi: 10.1016/j.asoc.2016.05.009
    [21] P. Dutta, S. Ganju, Some aspects of picture fuzzy set, Trans. A. Razmandze Math. Institute, 172 (2018), 164–175. https://doi.org/10.1016/j.trmi.2017.10.006 doi: 10.1016/j.trmi.2017.10.006
    [22] R. Wang, Y. Li, Picture hesitant fuzzy set and its application to multiple criteria decision making, Symmetry, 10 (2018), 295. https://doi.org/10.3390/sym10070295 doi: 10.3390/sym10070295
    [23] M. S. Sindhu, T. Rashid, A. Kashif, Modeling of linear programming and extended TOPSIS in decision making problem under the framework of picture fuzzy sets, PLoS ONE, 14 (2019), 14. https://doi.org/10.1371/journal.pone.0220957 doi: 10.1371/journal.pone.0220957
    [24] W. Liang, B. Dai, G. Zhao, H. Wu, Performance evaluation of green mine using a combined multi-criteria decision-making method with picture fuzzy information, IEEE Access, 7 (2019), 174139–174154. https://doi.org/10.1109/ACCESS.2019.2957012 doi: 10.1109/ACCESS.2019.2957012
    [25] S. Dogra, M. Pal, Picture fuzzy subring of a crisp ring, Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci., (2020), https://doi.org/10.1007/s40010-020-00668-y doi: 10.1007/s40010-020-00668-y
    [26] S. Dogra, M. Pal, Picture fuzzy matrix and its application, Soft Comput., 24 (2020), 9413–9428. https://doi.org/10.1007/s00500-020-05021-4 doi: 10.1007/s00500-020-05021-4
    [27] S. Dogra, M. Pal, $m$-polar picture fuzzy ideal of a BCK algebra, Int. J. Comput. Int. Syst., 13 (2020), 409–420. https://doi.org/10.2991/ijcis.d.200330.001 doi: 10.2991/ijcis.d.200330.001
    [28] S. Dogra, M. Pal, Picture fuzzy subspace of a crisp vector space, Kragujevac J. Math., 47 (2023), 577–597.
    [29] S. Dogra, M. Pal, Picture fuzzy subgroup, Kragujevac J. Math., 47 (2023), 911–933.
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