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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/38163


    Title: Multiobjective fuzzy and stochastic engineering optimization with maximizing reliability
    Authors: Shih, C. J.;Wang, C. S.
    Contributors: 淡江大學機械與機電工程學系
    Keywords: 多目標模糊最佳化;隨機設計變數;模糊隨機限制;可靠度;Multiobjective Fuzzy Optimization;Random Design Variable;Fuzzy Probabilistic Constraint;Reliability
    Date: 1996-12
    Issue Date: 2010-01-11 14:47:10 (UTC+8)
    Publisher: IEEE
    Abstract: This paper introduces a design methodology using fuzzy theory to find random design variables by maximizing the reliability as well as optimizing multiobjectives. The formulation of the problem involves random parameters and probabilistic and fuzzy probabilistic constraints. The objective weighting strategy in the multiobjective fuzzy formulation is presented. An engineering design example illustrates this optimization process and the solution techniques
    This paper introduces a design methodology using fuzzy theory to find random design variables by maximizing reliability as well as optimizing multiobjectives. The formulation of the problem involves random parameters, probabilistic and fuzzy probabilistic constraints. The objective weighting strategy in multiobjective fuzzy formulation is presented. An engineering design example illustrates this optimization process and solution techniques.
    Relation: Proceedings of the 1996 Asian Fuzzy Systems Symposium--Soft Computing in Intelligent Systems and Information Processing,頁302-307
    DOI: 10.1109/AFSS.1996.583618
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Proceeding

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