| Author: | Imamy, M. M. Schlesinger, R. J. |
| Title: | Decision Models for Robot Selection: A Comparison of Ordinary Least Squares and Linear Goal Programming Methods |
| Journal: | Decision Sciences
1989 : WINTER, VOL. 20:1, p.40-54 |
| Index terms: | GOALS GOAL PROGRAMMING |
| Language: | eng |
| Abstract: | The profusion of robot designs, the cost of testing and mutually exclusive optima are factors that create a complex selection decision for the would-be user. While formal robot testing standards are already used, formal techniques to select robots for the testing process have not been tried. To optimize this latter problem, a linear goal programming model is proposed. This method yields a more stable result than the ordinary least square estimator does in the presence of statistical outliers of robot parameters. |
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