Decision making based ensemble feature selection approach through a new score function in q-rung orthopair hesitant fuzzy environment

Abstract

This article presents an ensemble feature selection approach grounded in multi-criteria decision-making techniques through the development of a novel scoring function. We explore the q-rung orthopair hesitant fuzzy set, introducing a new score function for the q-rung orthopair hesitant fuzzy numbers based on an exponential model. Both the newly developed score function and the existing score function for this fuzzy set are combined with decision-making methods to form an ensemble feature selection method, demonstrating the proposed score function's effectiveness. Additionally, our technique is compared with existing feature selection methods, both individual and ensemble, to verify its statistical significance and superiority. © 2025 International Association for Mathematics and Computers in Simulation (IMACS)