Kumar, Ravi2026-10-292026-10-292025http://nits.ndl.gov.in/handle/123456789/264In a real-life problem, decision-making plays a vital role. It is always observable that uncertainty, hesitation, vagueness, etc., are involved in actual circumstances. Such factors increase the difficulty for decision makers to decide the accurate, precise, and crisp values of parameters involved in the specific problem. Unlike conventional fuzzy or intuitionistic fuzzy sets, spherical fuzzy sets provide greater flexibility by incorporating “membership, non-membership, and hesitancy degrees” simultaneously while maintaining a normalized structure. The bulk of real-world optimization issues are ambiguous, although they are frequently considered to be crisp for the sake of solving them. Many of them are multi-objective optimization problems in which multiple conflicting objectives must be satisfied while adhering to the same set of constraints. The proposed model formulates the transportation problem within the spherical fuzzy environment and employs a modified algorithm to derive optimal solutions.enThesis