期刊論文
| 學年 | 92 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2003-11-01 |
| 作品名稱 | Alternative α-level-cuts methods for optimum structural design with fuzzy resources |
| 作品名稱（其他語言） | |
| 著者 | Shih, C. J.; Chi, C. C.; Hsiao, J. H. |
| 單位 | 淡江大學機械與機電工程學系 |
| 出版者 | Elsevier |
| 著錄名稱、卷期、頁數 | Computers and structures 81(28-29), pp.2579-2587 |
| 摘要 | Three alternative α-level-cuts approaches: single-cut, double-cuts, and multiple-cuts, for solving nonlinear programming design problems of structuring engineering with fuzzy resources were developed and proposed in this paper. The conventional standard α-cuts method of fuzzy linear programming (FLP) inspired presenting development of innovative fuzzy nonlinear programming (FNLP) solution method. This paper also presents the inter-relations between the standard α-cuts approaches and the proposed novel formulation. The illustration of structural design example generally indicates that the multiple-cuts approach can achieve a better final design than that of double-cuts approach. The final design of double-cuts approach is better than that of single-cut approach. The approaches presented perform better than that of conventional α-level-cuts method. It is shown in double and multiple level-cuts approaches that direct minimization of α of the objective function and maximization of the constraints simultaneously yield the most effective formulation. Additionally, linear or nonlinear membership functions of objective functions can be selected by designer depending on the practical requirements of design objectives. The presented alternative α-level-cuts approaches guarantees to obtain the unique optimum design on nonlinear engineering problems with fuzzy resources. |
| 關鍵字 | Alternative level-cuts approach;Fuzzy nonlinear optimization;α-cuts methods;Engineering design;Structural engineering |
| 語言 | en |
| ISSN | 0045-7949 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45715 ) |