| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1144431 | Systems Engineering - Theory & Practice | 2007 | 5 Pages |
Decreasing dimensions is the key of dynamic comprehensive evaluation problems, which turns multidimensional time series to two-dimensional data. This article extends the ordered weighted averaging (OWA) operator to aggregating data in dynamic comprehensive evaluation problems and presents two new operator (time ordered weighted averaging (TOWA) operator and time ordered weighted geometric averaging (TOWGA) operator). Then, two new methods are presented, which are twice-weighted evaluation and prefix comprehensive evaluation. And the article introduces the mathematical programming model to solve TOWA and TOWGA weighting vector (time weighting vector). Finally, an applied example was given to illustrate the effectiveness of the proposed method.
