Descripción
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he additive multi-attribute utility model is widely used in multicrite- ria decision-making. However, it is often not easy to elicit precise values for the scaling weights representing the relative importance of criteria. In a group deci- sion-making context a very widespread approach is to derive incomplete infor- mation, such as weight intervals or ordinal information rather than precise weights from a negotiation process. Different approaches have been proposed to deal with such situations. We advance two approaches based on dominance measures accounting for imprecise weights and compare them with other exist- ing approaches using Monte Carlo simulation. | |
Internacional
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Si |
DOI
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Edición del Libro
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0 |
Editorial del Libro
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Springer |
ISBN
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978-3-642-04427-4 |
Serie
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Lecture Notes in Artificial Intelligence |
Título del Libro
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Algorithmic Decision Theory |
Desde página
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328 |
Hasta página
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339 |