Abstract
In this paper, previous studies about Fuzzy regression had been presented. The fuzzy regression is a generalization of the traditional regression model that formulates a fuzzy environment's relationship to independent and dependent variables. All this can be introduced by non-parametric model, as well as a semi-parametric model. Moreover, results obtained from the previous studies and their conclusions were put forward in this context. So, we suggest a novel method of estimation via new weights instead of the old weights and introduce another suggestion based on artificial neural networks.
DOI
10.33095/jeas.v29i138.3044
Subject Area
Statistical
First Page
127
Last Page
146
Rights
http://creativecommons.org/licenses/by-nc-nd/4.0
Recommended Citation
Alwan, E. B., & Ali, O. A. (2024). About Semi-Parametric Methodology for Fuzzy Quantile Regression Model Estimation: A Review. Journal of Economics and Administrative Sciences, 29(138), 127-146. https://doi.org/10.33095/jeas.v29i138.3044
