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Título:
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Crisp dimension theory and valued preference relations.
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Autores:
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Gomez, D. ;
Montero, Javier ;
Yáñez, Javier ;
González-Pachón, J. ;
Cutello, V.
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Tipo de documento:
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texto impreso
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Editorial:
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Taylor & Francis Ltd, 2004
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Informática: Inteligencia artificial
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Materia = Ciencias: Matemáticas: Investigación operativa
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Tipo = Artículo
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Resumen:
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In this paper we address the problem of inconsistency in preference relations, pointing out the relevance of a meaningful representation in order to help decision maker to capture such inconsistencies. Dimension theory framework, despite its computational complexity, is considered here, pursuing in principle a decomposition of arbitrary preference relations in terms of linear orderings of alternatives. But we shall then stress that consistency should not be necessarily associated to a linear ordering. In this way, alternative decompositions of a preference relation can be proposed to decision maker, allowing an effective search for a useful representations of alternatives in terms of possible criteria. Such decompositions of our preference relations will then become the basis of a future decision aid model, always with the restricted aim of allowing the decision maker a better understanding of the problem. Inconsistencies may be not simply suppressed but understood, since they may contain relevant information.
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En línea:
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https://eprints.ucm.es/id/eprint/16679/1/Montero44.pdf
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