The field of machine learning and computational intelligence has seen significant advancements in the development of models for regression problems. However, there is a growing demand for models that not only provide accurate predictions but also offer interpretability and trustworthiness, especially in domains where decision-makers require a clear understanding of the underlying reasoning process. This research aims to explore and develop evolving fuzzy systems that address these challenges, focusing on regression problems.