Interval-valued Data Analysis: A Review

Authors

  • MUSTAFA AL-ASADI Selçuk University

Keywords:

Interval-valued data, Machine learning, Data mining, linear regression, Nonlinear Regression

Abstract

Interval-valued data, a type of symbolic data, is given as an interval in which the observation object is not a single value. The analysis and study of Interval-valued Data are still in development and many breakthroughs have occurred only in the early twenty-first century or even in our current decade, leaving still 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 estimation.

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Published

30-12-2022

How to Cite

AL-ASADI, M. (2022). Interval-valued Data Analysis: A Review. Artificial Intelligence Studies, 5(2), 47–55. Retrieved from https://aistudies.org/index.php/ais/article/view/57