Grey Situation Decision-Making Theory Based Approach to Solve Fuzzy Multi-Objective Solid Transportation Problem

Resumen

The proposed model simultaneously considers multiple conflicting objectives under a fuzzy environment. Grey Situation Decision-Making Theory is employed to evaluate feasible transportation alternatives using comprehensive effect measures and balance coefficients in order to obtain the optimal compromise solution. The proposed methodology effectively integrates fuzzy optimization and grey decision-making concepts, thereby improving the reliability and flexibility of the decision-making process. Numerical examples are presented to demonstrate the applicability and computational efficiency of the proposed approach. The obtained results are further compared with Weight Sum Method, Rank Order Centroid Method, and Ratio Method, which indicate that the proposed GSDMT-based approach provides better adaptability, solution reliability, and effectiveness for solving complex real-world fuzzy multi-objective solid transportation problem.