| Abstract: | Optimization theory has advanced considerably during the last three decades as is illustrated by a vast number of published books, surveys, and papers concerning this subject. An optimal decision under uncertainty conditions is dependent on the Engineer's objectives, which may be not known with certainty or represented by natural language. To deal with this problem, in this paper, a new approach based on coupling the existing knowledge of experts and numerical results obtained from traditional optimization techniques is presented using non-conventional logic. To cite this article: C. Tran, C. R. Mecanique 330 (2002) 609–614. |
