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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/22900

    Título
    A new consensus ranking approach for correlated ordinal information based on Mahalanobis distance
    Autor
    González Arteaga, María TeresaAutoridad UVA Orcid
    Alcantud, José Carlos R.
    Andrés Calle, Rocío DeAutoridad UVA Orcid
    Año del Documento
    2016
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Information Sciences, 2016, 372, pp. 546-564
    Résumé
    We investigate from a global point of view the existence of cohesiveness among experts’ opinions. We address this general issue from three basic essentials: the management of experts’ opinions when they are expressed by ordinal information; the measurement of the degree of dissensus among such opinions; and the achievement of a group solution that conveys the minimum dissensus to the experts’ group. Accordingly, we propose and characterize a new procedure to codify ordinal information. We also define a new measurement of the degree of dissensus among individual preferences based on the Mahalanobis distance. It is especially designed for the case of possibly correlated alternatives. Finally, we investigate a procedure to obtain a social consensus solution that also includes the possibility of alternatives that are correlated. In addition, we examine the main traits of the dissensus measurement as well as the social solution proposed. The operational character and intuitive interpretation of our approaches are illustrated by an explanatory example.
    Palabras Clave
    Decisiones
    ISSN
    0020-0255
    Revisión por pares
    SI
    DOI
    10.1016/j.ins.2016.08.071
    Patrocinador
    Ministerio de Economía, Industria y Competitividad (ECO2012–32178)
    Version del Editor
    http://www.sciencedirect.com/science/article/pii/S0020025516306557
    Propietario de los Derechos
    © Elsevier
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/22900
    Derechos
    openAccess
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    • DEP20 - Artículos de revista [181]
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