Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

Interval-valued optimization problems constitute a rapidly evolving field in applied mathematics and engineering, addressing situations where uncertainty and imprecision are inherent in model ...