1996
DOI: 10.1002/(sici)1099-1360(199612)5:4<301::aid-mcda120>3.3.co;2-h
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Robustness of Additive Value Function Methods in MCDM
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Cited by 14 publications
(14 citation statements)
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“…Although there are various established types of multi-attribute utility functions, the additive formulation is utilized herein. Within the additive formulation, marginal utility values associated with each attribute are multiplied by weighting factors and summed over all attributes investigated [32]. The utility values corresponding to economic, social, and environmental risk-attributes are determined by considering equal contributions of the sub-attributes involved.…”
Section: Multi-attribute Utility Assessment Corresponding To Sustainamentioning
confidence: 99%
“…Although there are various established types of multi-attribute utility functions, the additive formulation is utilized herein. Within the additive formulation, marginal utility values associated with each attribute are multiplied by weighting factors and summed over all attributes investigated [32]. The utility values corresponding to economic, social, and environmental risk-attributes are determined by considering equal contributions of the sub-attributes involved.…”
Section: Multi-attribute Utility Assessment Corresponding To Sustainamentioning
confidence: 99%
“…Such functions assume mutual preference independence between the attributes, but Stewart (1996) showed that they can provide robust approximations to decision makers' preferences when outcomes are deterministic. Such functions assume mutual preference independence between the attributes, but Stewart (1996) showed that they can provide robust approximations to decision makers' preferences when outcomes are deterministic.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Independence assumptions of additive value function [39] are examined. Although the mutual independence condition is not fully satisfied, the additive value function is generally robust to prioritizing alternatives given mild violations of this assumption [40]. Therefore, for the purpose of mathematical simplicity, we assume the prerequisites of the existence of additive value function are met and the multiattribute value function is given by…”
Section: A Baseline Multicriteria Analysis Modelmentioning
confidence: 99%
