Two representations of the weighting techniques in fuzzy multiobjective optimization have been proposed. The results of the objective weighting is closer to the ideal solution than that of the membership weighting. A min-max variant fuzzy multiobjective optimization has been developed. The ideal solution for the cost membership function is no need to relax. The final optimum design is further improved by fuzzy weighting technique. The optimization process and the application have been presented and discussed.
Proceedings of the Second International Conference on Automation Technol ogy=(Vol. 1)，pp.285-290