Analysing the Possibility of Having Heavy Metal Content in Cosmetic Products Using Linear Regression with Fuzz Model

Abstract

Linear Regression with FUZZ  analysis was first introduced by Tanaka et al. [4]. It is a variation on traditional regression analysis where any kind of fuzzy number can be used to represent some model components. Fuzzy regression models are regression models that capture the imprecision of the system they are modeling. The indefinite nature of the fuzzy regression model is reflected in the derived fuzzy output value and fuzzy regression coefficients. This study examines the possibility that cosmetic products include heavy metals using a fuzzy linear regression model.