Article ID: | iaor1988316 |
Country: | United States |
Volume: | 35 |
Issue: | 6 |
Start Page Number: | 655 |
End Page Number: | 672 |
Publication Date: | Dec 1988 |
Journal: | Naval Research Logistics Quarterly |
Authors: | Li Duan, Haimes Yacov Y. |
This article deals with optimization problems that have some uncertain parameters with unknown probabilities. The article proposes a strategy of transferring the system’s uncertainty associated with these optimization problems into a norm of a set of norms that is added to the original objective function(s) within a multiobjective framework. The uncertainty sensitivity index method (USIM) proposed by Haimes and Hall is extended to several general cases. A robust algorithm is developed to guarantee an ideal solution for cases where the nominal value of the uncertain parameter is itself an uncertain variable. A design problem is also addressed to identify the best-compromise values of the system’s parameters by integrating the USIM with the envelope approach.