Abstract
We consider sensitivity analysis of the objective function coefficients in multiple objective linear programming (MOLP). We focus on the properties of the parameters set for which a given extreme solution is efficient. Moreover, we compare two approaches: the standard sensitivity analysis (changing only one coefficient) and the additive tolerance approach (changing all coefficients). We find the connections between these two approaches by giving a theorem describing the upper bound on the maximal additive tolerance.
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Sitarz, S. Standard sensitivity analysis and additive tolerance approach in MOLP. Ann Oper Res 181, 219–232 (2010). https://doi.org/10.1007/s10479-010-0728-8
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DOI: https://doi.org/10.1007/s10479-010-0728-8