International Journal of Neutrosophic Science

Journal DOI

https://doi.org/10.54216/IJNS

Submit Your Paper

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

Volume 18 , Issue 4 , PP: 344-354, 2022 | Cite this article as | XML | Html | PDF | Full Length Article

Application of new media retrieval system based on Neutrosophic in marketing

S. del Rocío Á. Hernández 1 * , L. Álvarez Gómez 2 , Miriam J. P. Burbano 3

  • 1 Docente de la Carrera de Administración de Empresas de la Universidad Regional Autónoma de los Andes (UNIANDES) - (ui.saryalvarez@uniandes.edu.ec)
  • 2 Docente de la Carrera de Administración de Empresas de la Universidad Regional Autónoma de los Andes (UNIANDES) - (uq.lizbethalvarez@uniandes.edu.ec)
  • 3 Docente de la Carrera de Administración de Empresas de la Universidad Regional Autónoma de los Andes (UNIANDES) - (ui.c.investigacion@uniandes.edu.ec)
  • Doi: https://doi.org/10.54216/IJNS.180429

    Received: March 29, 2022 Accepted: July 13, 2022
    Abstract

    The new media is a crucial ply role in the market. The new media growth rapidly in the market so, select consumers and companies for competition. So, the new media is a complex task for companies and firms. The new media retrieval contains much content such as image retrieval, audio and video retrieval. The new media retrieval contains many criteria, and each criterion contains sub-criteria. So, use an MCDM method for dealing with this problem. The new media retrieval system is analyzing under a neutrosophic environment. The Decision-making trial and evaluation laboratory (DEMATEL) integrated with single-valued neutrosophic. DEMATEL method used to show importance and impact criteria of new media retrieval for helping companies in market competition. An example is provided for showing calculations.       

    Keywords :

    AHP , Neutrosophic , Retrieval System , New Media.

    References

    [1] N. C. Maddage, C. Xu, M. S. Kankanhalli, and X. Shao, ―Content-based music structure analysis with

    applications to music semantics understanding,‖ in Proceedings of the 12th annual ACM international

    conference on Multimedia, 2004, pp. 112–119.

    [2] X. He, W.-Y. Ma, and H.-J. Zhang, ―Learning an image manifold for retrieval,‖ in Proceedings of the

    12th annual ACM international conference on Multimedia, 2004, pp. 17–23.

    [3] E. Chang, K. Goh, G. Sychay, and G. Wu, ―CBSA: content-based soft annotation for multimodal image

    retrieval using Bayes point machines,‖ IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 1, pp.

    26–38, 2003.

    [4] J. Z. Wang, G. Wiederhold, O. Firschein, and S. X. Wei, ―Content-based image indexing and searching

    using Daubechies’ wavelets,‖ Int. J. Digit. Libr., vol. 1, no. 4, pp. 311–328, 1998.

    [5] Y. Zhuang, C. Wu, F. Wu, and X. Liu, ―Improving web-based learning: Automatic annotation of

    multimedia semantics and cross-media indexing,‖ in International Conference on Web-Based

    Learning, 2004, pp. 255–262.

    [6] M. Müller, T. Röder, and M. Clausen, ―Efficient content-based retrieval of motion capture data,‖ in

    ACM SIGGRAPH 2005 Papers, 2005, pp. 677–685.

    [7] J. Fan, A. K. Elmagarmid, X. Zhu, W. G. Aref, and L. Wu, ―ClassView: hierarchical video shot

    classification, indexing, and accessing,‖ IEEE Trans. Multimed., vol. 6, no. 1, pp. 70–86, 2004.

    [8] S. W. Smoliar and H. Zhang, ―Content based video indexing and retrieval,‖ IEEE Multimed., vol. 1, no.

    2, pp. 62–72, 1994.

    [9] G. Guo and S. Z. Li, ―Content-based audio classification and retrieval by support vector machines,‖

    IEEE Trans. Neural Networks, vol. 14, no. 1, pp. 209–215, 2003.

    [10] E. Triantaphyllou, ―Multi-criteria decision making methods,‖ in Multi-criteria decision making

    methods: A comparative study, Springer, 2000, pp. 5–21.

    [11] R. Şahin and A. Küçük, ―Subsethood measure for single valued neutrosophic sets,‖ J. Intell. Fuzzy

    Syst., vol. 29, no. 2, pp. 525–530, 2015.

    [12] W. Ho, X. Xu, and P. K. Dey, ―Multi-criteria decision making approaches for supplier evaluation and

    selection: A literature review,‖ Eur. J. Oper. Res., vol. 202, no. 1, pp. 16–24, 2010.

    [13] E. Triantaphyllou, B. Shu, S. N. Sanchez, and T. Ray, ―Multi-criteria decision making: an operations

    research approach,‖ Encycl. Electr. Electron. Eng., vol. 15, no. 1998, pp. 175–186, 1998.

    [14] J.-J. Wang, Y.-Y. Jing, C.-F. Zhang, and J.-H. Zhao, ―Review on multi-criteria decision analysis aid in

    sustainable energy decision-making,‖ Renew. Sustain. energy Rev., vol. 13, no. 9, pp. 2263–2278, 2009.

    [15] M. Velasquez and P. T. Hester, ―An analysis of multi-criteria decision making methods,‖ Int. J. Oper.

    Res., vol. 10, no. 2, pp. 56–66, 2013.

    [16] H. Huang, ―New distance measure of single‐valued neutrosophic sets and its application,‖ Int. J. Intell.

    Syst., vol. 31, no. 10, pp. 1021–1032, 2016.

    [17] S. Broumi, M. Talea, A. Bakali, and F. Smarandache, ―Single valued neutrosophic graphs,‖ J. New

    theory, no. 10, pp. 86–101, 2016.

    [18] M. Saqlain, N. Jafar, S. Moin, M. Saeed, and S. Broumi, ―Single and multi-valued neutrosophic

    hypersoft set and tangent similarity measure of single valued neutrosophic hypersoft sets,‖

    Neutrosophic Sets Syst., vol. 32, no. 1, pp. 317–329, 2020.

    [19] H. Wang, F. Smarandache, Y. Zhang, and R. Sunderraman, Single valued neutrosophic sets. Infinite

    study, 2010.

    [20] M. Abdel-Basset, A. Gamal, N. Moustafa, A. Abdel-Monem, and N. El-Saber, ―A Security-by-Design

    Decision-Making Model for Risk Management in Autonomous Vehicles,‖ IEEE Access, 2021.

    Cite This Article As :
    del, S.. , Álvarez, L.. , J., Miriam. Application of new media retrieval system based on Neutrosophic in marketing. International Journal of Neutrosophic Science, vol. , no. , 2022, pp. 344-354. DOI: https://doi.org/10.54216/IJNS.180429
    del, S. Álvarez, L. J., M. (2022). Application of new media retrieval system based on Neutrosophic in marketing. International Journal of Neutrosophic Science, (), 344-354. DOI: https://doi.org/10.54216/IJNS.180429
    del, S.. Álvarez, L.. J., Miriam. Application of new media retrieval system based on Neutrosophic in marketing. International Journal of Neutrosophic Science , no. (2022): 344-354. DOI: https://doi.org/10.54216/IJNS.180429
    del, S. , Álvarez, L. , J., M. (2022) . Application of new media retrieval system based on Neutrosophic in marketing. International Journal of Neutrosophic Science , () , 344-354 . DOI: https://doi.org/10.54216/IJNS.180429
    del S. , Álvarez L. , J. M. [2022]. Application of new media retrieval system based on Neutrosophic in marketing. International Journal of Neutrosophic Science. (): 344-354. DOI: https://doi.org/10.54216/IJNS.180429
    del, S. Álvarez, L. J., M. "Application of new media retrieval system based on Neutrosophic in marketing," International Journal of Neutrosophic Science, vol. , no. , pp. 344-354, 2022. DOI: https://doi.org/10.54216/IJNS.180429