• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UVaDOCCommunitiesBy Issue DateAuthorsSubjectsTitles

    My Account

    Login

    Statistics

    View Usage Statistics

    Share

    View Item 
    •   UVaDOC Home
    • SCIENTIFIC PRODUCTION
    • Departamentos
    • Dpto. Economía Aplicada
    • DEP20 - Capítulos de monografías
    • View Item
    •   UVaDOC Home
    • SCIENTIFIC PRODUCTION
    • Departamentos
    • Dpto. Economía Aplicada
    • DEP20 - Capítulos de monografías
    • View Item
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Export

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/40596

    Título
    Clustering U.S. 2016 presidential candidates through linguistic appraisals
    Autor
    González del Pozo, RaquelAutoridad UVA Orcid
    García Lapresta, José LuisAutoridad UVA Orcid
    Pérez Román, DavidAutoridad UVA Orcid
    Año del Documento
    2017
    Editorial
    Springer Link
    Descripción
    Producción Científica
    Documento Fuente
    Kacprzyk, J.; Szmidt, E.; Zadrożny, S.; Atanassov, K.; Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. Advances in Intelligent Systems and Computing, vol. 642. Cham: Springer, 2017, p. 143-153
    Abstract
    The main purpose of this paper is to cluster the United States (U.S.) 2016 presidential candidates taking the linguistic appraisals made by a random representative sample of adults living in the U.S. as our starting point. To do this, we have used the concept of ordinal proximity measure (see García-Lapresta and Pérez-Román), which allows to determine the degree of consensus in a group of agents when a set of alternatives is evaluated through non-necessarily qualitative scales.
    Palabras Clave
    Cluster analysis
    Análisis de grupos
    Presidential candidates
    Candidatos presidenciales
    Ordinal proximity measures
    Medidas de proximidad ordinal
    Linguistic appraisal
    Valoración lingüística
    ISBN
    978-3-319-66824-6
    Patrocinador
    Ministerio de Economía, Industria y Competitividad (project ECO2016-77900-P)
    Version del Editor
    https://link.springer.com/chapter/10.1007%2F978-3-319-66824-6_13
    Propietario de los Derechos
    © 2017 Springer
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/40596
    Tipo de versión
    info:eu-repo/semantics/acceptedVersion
    Derechos
    openAccess
    Collections
    • DEP20 - Capítulos de monografías [14]
    Show full item record
    Files in this item
    Nombre:
    Clustering-US-2016-presidential-candidates.pdf
    Tamaño:
    274.8Kb
    Formato:
    Adobe PDF
    Thumbnail
    FilesOpen
    Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10