| Article ID: | iaor1994242 |
| Country: | Serbia |
| Volume: | 2 |
| Start Page Number: | 33 |
| End Page Number: | 43 |
| Publication Date: | May 1992 |
| Journal: | Yugoslav Journal of Operations Research |
| Authors: | Filev Dimiter, Angelov Plamen |
| Keywords: | programming: mathematical, decision theory, control processes |
More realistic formulations of optimal control problems are proposed in the paper. Fuzzy sets are used to represent the impreciseness and nonreproducibility of the experimental data and subjectivity of the cost function(s) definition. The problem is transformed via Bellman-Zadeh’s approach to the crisp (nonfuzzy) optimal control problem. Illustrative numerical examples are presented.