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Descripción
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| The additive multi-attribute utility model is widely used in multicriteria 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 decision- making context a very widespread approach is to derive incomplete information, 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 existing approaches using Monte Carlo simulation. | |
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Internacional
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Si |
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Nombre congreso
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First International Conference Mini EURO Conference on Algorithmic Decision Theory |
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Tipo de participación
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960 |
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Lugar del congreso
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Venecia (Italia) |
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Revisores
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Si |
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ISBN o ISSN
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978-3-642-04427-4 |
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DOI
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Fecha inicio congreso
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20/10/2009 |
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Fecha fin congreso
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23/10/2009 |
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Desde la página
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328 |
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Hasta la página
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339 |
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Título de las actas
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Algorithmic Decision Theory |