Multivariate Matrix for Fuzzy Linear Regression Model to Analyse The Taxation in Malaysia

  • Authors

    • Noor Hidayah Mohamed Isa
    • Mahmod Othman
    • Samsul Ariffin Abdul Karim
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.33.23490
  • Multivariate, Matrix, Fuzzy Linear Regression, Tax Revenue.

  • Abstract

    A multivariate matrix is proposed to find the best factor for fuzzy linear regression (FLR) with symmetric triangular fuzzy numbers (TFNs). The goal of this paper is to select the best factor influence tax revenue among four variables. Eighteen years’ data of the variables from IndexMundi and World Bank Data. It is found that the model is successfully explained between independent variables and response variable. It is notices that  sixty-six percent of the variance of tax revenue is explained by Gross Domestic Product, Inflation, Unemployment and Merchandise Trade. The introduction of multivariate matrix for fuzzy linear regression in taxation is a first attempt to analyses the relationship the tax revenue with the independent variables.

     

     

  • References

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  • How to Cite

    Hidayah Mohamed Isa, N., Othman, M., & Ariffin Abdul Karim, S. (2018). Multivariate Matrix for Fuzzy Linear Regression Model to Analyse The Taxation in Malaysia. International Journal of Engineering & Technology, 7(4.33), 78-82. https://doi.org/10.14419/ijet.v7i4.33.23490

    Received date: 2018-12-08

    Accepted date: 2018-12-08

    Published date: 2018-12-09