| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 486426 | Procedia Computer Science | 2014 | 5 Pages |
Abstract
It is suggested an approach to solving optimization problems for aggregated criterion as a linear convolution of partial criteria, where the weights are obtained on the basis of ranking partial criteria in order of importance. The procedure, based on the method of small parameter, is proposed in order to estimate the change of optimal solutions when there is an elementary change of expert judgments.
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