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Tekijä:Imamy, M. M.
Schlesinger, R. J.
Otsikko:Decision Models for Robot Selection: A Comparison of Ordinary Least Squares and Linear Goal Programming Methods
Lehti:Decision Sciences
1989 : WINTER, VOL. 20:1, p.40-54
Asiasana:GOALS
GOAL PROGRAMMING
Kieli:eng
Tiivistelmä: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.
SCIMA tietueen numero: 73582
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