ABSTRACT
The interval-valued data may contain imprecision and uncertainty for obtaining a reliable approximation. This chapter basically discusses developing factor-based models by handling quantitative and qualitative parameters concurrently using the interval function approximation. The interval multivariate regression technique was used to approximate the interval function. Three approaches have been presented to approximate the interval regression coefficients of the interval function. First approach is based on the interval least squares algorithm proposed by Chenyi Hu. Second and third approaches use two newly implemented methods to estimate the interval-valued regression coefficients. Linear regression is one of the fundamental models used to determine the relationship between dependent and independent variables.
