Solving computational bottleneck of interval type-2 fuzzy systems

This study proposes machine learning based algorithm to solve a long-standing problem in the field of higher order fuzzy logic systems. Findings from this study shows that the proposed algorithmic framework provides substantial enhancement to these systems in terms of computational cost and processing speed.