On the dimension of fuzzy preference relations
The concept of Dimension plays a key role in the context of crisp (classical) preference modelling. Dimension analysis allows a better insight of structure of individual preferences, giving a hint about the complexity of the preference modelling problem. Several attempts can be found in the literatu...
| Autores: | , , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 1998 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/60925 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/60925 |
| Access Level: | acceso abierto |
| Palabra clave: | 004.8 Fuzzy Preference Relation Fuzzy Binary Relation. Inteligencia artificial (Informática) 1203.04 Inteligencia Artificial |
| Sumario: | The concept of Dimension plays a key role in the context of crisp (classical) preference modelling. Dimension analysis allows a better insight of structure of individual preferences, giving a hint about the complexity of the preference modelling problem. Several attempts can be found in the literature in order to translate such a concept and its associated procedures into fuzzy preference models. In this paper, we shallrst of all discuss some of these approaches, showing that no more extra knowledge about the problem is sometimes attained, mainly due to some a priori introduced restrictions. Then we shall propose an alternative approach based upon the analysis of all associated crisp ®-cuts. Some consequences in related fuzzy preference modelling problems are also discussed. |
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