Abstract:
In the paper an iterative fuzzy programming approach is developed for solving the multi-objective transportation problem of "bottleneck" type with some imprecise data. Minimizing iteratively the worst upper bound to obtain an e±cient solution which is close to the best lower bound for each objective function, we find the set of efficient solutions for all time levels.