本文主要探討設計參數變異對限制條件所產生的不確定性, 並結合多目標模糊最佳化的方法, 於最佳化搜尋過程中, 可同時達到設計的合理穩健性。本文採用參數變異模態分析限制條件的修正量, 以確保設計在參數變異影響下, 仍保持在合理區間。為求避免設計過於保守, 應用多目標模糊最佳化方法, 以求得同時滿足最佳化設計目標與合理穩健的最大滿意度解, 並提出兩個設計例題加以解說且比較最佳化結果。 This paper presents a robust engineering design method and process that using the technique of multiobjective fuzzy optimization combined the parameter variation pattern to obtain the optimum objective design as well as the most robust feasibility. The linearization of active constraints serves for estimating the increment of each design variable. The final mathematical optimization formulation is fuzzy and nonlinear. The robustness of feasibility and the solution algorithm are introduced step by step in the paper. Two mechanical engineering designs are given to illustrate the presented design process. The result has the highest degree of design satisfaction defined by the degree of membership functions.
中華民國第六屆模糊理論及其應用會議論文集=Proceedings of 1998 Sixth National Conference on Fuzzy Theory and Its Application，頁589-594