Interval-valued Data Analysis: A Review

Interval-valued data is observed as ranges rather than single values and is frequently observed in advanced data collection processes and machine learning techniques.The linear and non-linear regression methods were used for the interval valued data prediction (IVD) tasks, and the superiority of the non-linear methods over the other methods was proven.However, the previous literature primarily concerned with parametric linear regression models in the analysis of interval valued data.Thus, the analysis and study of interval-valued data are still under development, leaving many stones unturned and many similar methods to study and work with.This paper presents a review of the most important methods used to analyze interval-valued data to provide summary insights and evaluation.