Multiobjective fuzzy and stochastic engineering optimization with maximizing reliability

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Bibliographic Details
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
Publisher Information: IEEE
Publication Year: 1996
Collection: Tamkang University Institutional Repository (TKUIR) / 淡江大學機構典藏
Subject Terms: 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
Description: 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. ; 台灣大學; 教育部; 行政院國家科學委員會 ; 補正完畢 ; 國際 ; 19961211~19961214 ; 紙本 ; Y ; Kenting, Taiwan ; 屏東縣, 臺灣
Document Type: other/unknown material
Language: English
ISBN: 978-0-7803-3687-2
0-7803-3687-9
Relation: Proceedings of the 1996 Asian Fuzzy Systems Symposium--Soft Computing in Intelligent Systems and Information Processing,頁302-307; 1996 Asian Fuzzy Systems Symposium─Soft Computing in Intelligent Systems and Information Processing; https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/38163; https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/38163/1/index.html
DOI: 10.1109/AFSS.1996.583618
Availability: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/38163
https://doi.org/10.1109/AFSS.1996.583618
https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/38163/1/index.html
https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/38163/-1/Multiobjective Fuzzy and Stochastic Engineering Optimization with Maximizing Reliability _英文摘要.docx
Accession Number: edsbas.B3EF68AA
Database: BASE
Description
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. ; 台灣大學; 教育部; 行政院國家科學委員會 ; 補正完畢 ; 國際 ; 19961211~19961214 ; 紙本 ; Y ; Kenting, Taiwan ; 屏東縣, 臺灣
ISBN:9780780336872
0780336879
DOI:10.1109/AFSS.1996.583618