%0 Journal Article %T Fuzzy simple linear regression using Gaussian membership functions minimization problem %J Journal of Fuzzy Extension and Applications %I Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education %Z 2783-1442 %A Belhadj, Besma %D 2022 %\ 10/01/2022 %V 3 %N 4 %P 279-289 %! Fuzzy simple linear regression using Gaussian membership functions minimization problem %K Mathematical Modeling %K Fuzzy Regression %K Gaussian fuzzy responses %K Gaussian Membership Function %R 10.22105/jfea.2022.345298.1222 %X Under the additional assumption that the errors are normally distributed, the Ordinary Least Squares (OLS) method is the maximum likelihood estimator. In this paper, we propose, for a simple regression, an estimation method alternative to the OLS method based on a so-called Gaussian membership function, one that checks the validity of the verbal explanation suggested by the observer. The fuzzy estimation approach demonstrated here is based on a suitable framework for a natural behavior observed in nature. An application based on a group of MENA countries in 2015 is presented to estimate the employment poverty relationship. %U https://www.journal-fea.com/article_155107_24583b21a95541723ceb8e7bc158641e.pdf