This research examines certain modifications of the mathematical programming models to improve their classificatory performance. These modifications involve the inclusion of second-order terms and secondary goals in mathematical programming models. A Monte Carlo simulation study is conducted to investigate the performance of two standard parametric models and various mathematical programming models, including the MSD (minimize sum of deviations) model, the MIP (mixed integer programming) model and the hybrid linear programming model.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc278866 |
| Date | 05 1900 |
| Creators | Wanarat, Pradit |
| Contributors | Pavur, Robert J., Williams, Fredrik P., Kvanli, Alan, Jayakumar, Maliyakal D., Hagan, Melvin R. |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | xii, 193 leaves: ill., Text |
| Rights | Public, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved., Wanarat, Pradit |
Page generated in 0.002 seconds