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

	Comparison between some estimation methods for an intuitionistic fuzzy semi-parametric logistic regression model with practical application about covid-19
International Journal of Nonlinear Analysis and Applications
دوره 13، شماره 1، خرداد 2022، صفحه 3723-3732 اصل مقاله (422.44 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6149
نویسندگان
Ayad H. Shemail^* ¹؛ Mohammed Jasim Mohammed²
¹Department of Statistics, College of Administration and Economics, University of Diyala, Iraq
²Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
چکیده
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.
کلیدواژه‌ها
intuitionistic fuzzy set؛ the triangular intuitionistic fuzzy number؛ fuzzy data؛ mean square error؛ goodness-of-fit
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