These keywords were added by machine and not by the authors. Normalized measures of the importance of, and coupling between, design variables are also presented. Sample numerical and graphical results are given for the applications, including the imprecise input design variables and output performance variables of the design examples. The examples emphasize a compareson of different solution alternatives during preliminary engineering design, involving realistic design complexities and decision criteria. Two illustrative examples (one of an air tank design, the other the design of a braking system for a passenger vehicle) are presented. Formal methods for including noise, trade-off strategies and design iteration are included. The method utilizes fuzzy sets to capture designers’ and customers’ preferences. The background, terminology, and theory of a technique (called the Method of Imprecision or M OI) to formally represent and manipulate imprecise information in engineering design calculations is reviewed here.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |