Research Information System
Journal of Modern Technology and Engineering, vol.7, no.3, pp.187-198, 2022 (Peer-Reviewed Journal)
Approaches based on various technologies have been proposed in the literature for the creation of
regression models, which are among the most widely used models in fields such as machine learning and data
mining. In this article, various approaches such as mathematical programming, fuzzy distance-based least squares,
fuzzy c-regression, fuzzy decision trees are discussed for constructing regression models with fuzzy information.
Comparative analysis of these algorithms was made in terms of factors such as learning time, ease of processing
of fuzzy data, and the effect of large data volume.