About Semi-parametric Methodology for Fuzzy Quantile Regression Model Estimation: A Review

Authors

  • Elaf Baha Alwan
  • Omar Abdulmohsin Ali

DOI:

https://doi.org/10.33095/jeas.v29i138.3044

Keywords:

الانحدار التجزيئي، مفهوم الضبابية، الرقم الضبابي المثلث، الاوزان، خوارزميات الذكاء الاصطناعي.

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

Paper Type: Review article.

another suggestion based on artificial neural networks.

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Published

2023-12-30

Issue

Section

Statistical Researches

How to Cite

“About Semi-parametric Methodology for Fuzzy Quantile Regression Model Estimation: A Review” (2023) Journal of Economics and Administrative Sciences, 29(138), pp. 127–146. doi:10.33095/jeas.v29i138.3044.