Regression with Evidential Coefficients

P. 211–218.

Lepskiy A.

This article considers a regression model with coefficients that are specified by bodies of evidence defined on the numerical axis. Optimization problems of finding such evidential coefficients have been set. The relationship between the evidential formulation of the problem and some formulations of fuzzy regression problems is sho wn. The advantages of evidential regression compared to possibilistic fuzzy regression (better robustness, lower degree of fuzziness of coefficients) are demonstrated using a numerical example.

Keywords: fuzzy regression, Evidential regression

Publication based on the results of: Models and methods of decision-making in conditions of deep uncertainty (2025)

In book

Intelligent and Fuzzy Systems: Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference, Volume 4

Vol. 1531. Book 4. , Springer Publishing Company, 2025.