Article ID: | iaor2004648 |
Country: | United Kingdom |
Volume: | 44 |
Issue: | 7 |
Start Page Number: | 863 |
End Page Number: | 875 |
Publication Date: | Oct 2002 |
Journal: | Computers & Mathematics with Applications |
Authors: | Ekel P.Y. |
Keywords: | programming: multiple criteria, decision theory |
Results of research into the use of fuzzy sets for handling various forms of uncertainty in optimization problems related to the design and control of complex systems are presented. Much attention is given to considering the uncertainty of goals that is associated with a multicriteria character of many optimizaiton problems. The application of a multicriteria approach is needed to solve: (1) problems in which solution consequences cannot be estimated on the basis of a single criterion, that involves the necessity of analyzing a vector of criteria, and (2) problems that may be considered on the basis of a single criterion but their unique solutions are not achieved because the uncertainty of information produces so-called decision uncertainty regions, and the application of additional criteria can serve as a convincing means to contract these regions. According to this, two classes of models