Searching for the dimension of valued preference relations

The more information a preference structure gives, the more sophisticated representation techniques are necessary, so decision makers can have a global view of data and therefore a comprehensive understanding of the problem they are faced with. In this paper we propose to explore valued preference r...

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Detalles Bibliográficos
Autores: González Pachón, J., Gómez González, Daniel, Montero De Juan, Francisco Javier, Yáñez Gestoso, Francisco Javier
Tipo de recurso: artículo
Fecha de publicación:2003
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/57598
Acceso en línea:https://hdl.handle.net/20.500.14352/57598
Access Level:acceso abierto
Palabra clave:004.8
Multicriteria decision analysis
Valued relations
Dimension theory
Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
Descripción
Sumario:The more information a preference structure gives, the more sophisticated representation techniques are necessary, so decision makers can have a global view of data and therefore a comprehensive understanding of the problem they are faced with. In this paper we propose to explore valued preference relations by means of a search for the number of underlying criteria allowing its representation in real space. A general representation theorem for arbitrary crisp binary relations is obtained, showing the difference in representation between incomparability-related to the intersection operator-and other inconsistencies-related to the union operator. A new concept of dimension is therefore proposed, taking into account inconsistencies in source of information. Such a result is then applied to each alpha-cut of valued preference relations. (C) 2002 Elsevier Science Inc. All rights reserved.