International Journal of Nonlinear Analysis and Applications

Comparison between some estimation methods for an intuitionistic fuzzy semi-parametric logistic regression model with practical application about covid-19

Document Type : Research Paper

Authors

1 Department of Statistics, College of Administration and Economics, University of Diyala, Iraq

2 Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq

Abstract

In this paper, the intuitionistic fuzzy set and the triangular intuitionistic fuzzy number were displayed, as well as the intuitionistic fuzzy semi-parametric logistic regression model when the parameters and the dependent variable are fuzzy and the independent variables are crisp.  Two methods were used to estimate the model on fuzzy data representing Coronavirus data, which are the suggested method and {The Wang et al method}, through the mean square error and the measure of goodness-of-fit, the suggested estimation method was the best.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 1
March 2022
Pages 3723-3732
  • Receive Date: 02 January 2022
  • Revise Date: 28 January 2022
  • Accept Date: 01 February 2022