Fuzzy Entropy in Adaptive Fuzzy Weighted Linear Regression Analysis with Application to Estimate Infant Mortality Rate

Abstract

An adaptive fuzzy weighted linear regression model in which the output is based on the position and entropy of quadruple fuzzy numbers had dealt with. The solution of the adaptive models is established in terms of the iterative fuzzy least squares by introducing a new suitable metric which takes into account the types of the influence of different imprecisions. Furthermore, the applicability of the model is made by attempting to estimate the fuzzy infant mortality rate in Iraq using a selective set of inputs.