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primary topic: Multivariate matrix for fuzzy linear regression model to analyse the taxation in Malaysia

Multivariate matrix for fuzzy linear regression model to analyse the taxation in Malaysia
type: AcademicArticle
type: Article
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 (HR = 0.66) 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. © 2018 Authors.
date: 2018
volume: 7
issue: 4
is part of: International Journal of Engineering and Technology(UAE)
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Science Publishing Corporation Inc
type: Organization

International Journal of Engineering and Technology(UAE)
type: Collection
issn: 2227524X

N.H.M. Isa
type: Person
given name: N.H.M.
family name: Isa

S.A.A. Karim
type: Person
given name: S.A.A.
family name: Karim

M. Othman
type: Person
given name: M.
family name: Othman

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primary topic: Multivariate matrix for fuzzy linear regression model to analyse the taxation in Malaysia