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Título:
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Linguistic multi-criteria decision-making model with output variable expressive richness
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Autores:
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Cid López, Andrés ;
Hornos, Miguel J. ;
Carrasco González, Ramón Alberto ;
Herrera Viedma, Enrique ;
Chiclana, Francisco
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Tipo de documento:
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texto impreso
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Editorial:
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Elsevier, 2017
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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: Matemáticas: Teoría de conjuntos
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Materia = Ciencias: Matemáticas: Teoría de la decisión
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Materia = Humanidades: Filología: Lingüística
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Tipo = Artículo
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Resumen:
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In general, traditional decision-making models are based on methods that perform calculations on quantitative measures. These methods are usually applied to assess possible solutions to a problem, resulting in a ranking of alternatives. However, when it comes to making decisions about qualitative measures — such as service quality—, the quantitative assessment is a bit difficult to interpret. Therefore, taking into account the maturity of the linguistic assessment models, this paper puts forth a new solution proposal. It is a decision-making model that uses linguistic labels —represented with the 2-tuple notation— and a variable expressive richness when providing output results. This solution allows expressing results in a manner closer to the human cognitive system. To achieve this goal, a mechanism has been implemented for measuring the distance among the aggregate ratings, providing the decision-maker with a fast and intuitive answer. The proposal is illustrated with an application example based on the TOPSIS model, using linguistic labels throughout the entire process.
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En línea:
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https://eprints.ucm.es/57348/1/Cid-L%C3%B3pez-Linguistic%20multi-criteria.pdf
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