Spherical Fuzzy Set

Spherical fuzzy sets extend traditional fuzzy sets by incorporating membership, non-membership, and indeterminacy degrees, all within a unit hypersphere, offering a richer representation of uncertainty. Current research focuses on developing advanced spherical fuzzy set models, such as globular T-spherical fuzzy sets, and integrating them into decision-making frameworks like multi-criteria group decision-making and support vector machines. This enhanced representation of uncertainty improves the robustness and efficiency of algorithms dealing with vague or imprecise data, finding applications in areas requiring nuanced evaluations and classifications.