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Título
Clustering U.S. 2016 presidential candidates through linguistic appraisals
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
Resumo
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
Propietario de los Derechos
© 2017 Springer
Idioma
eng
Tipo de versión
info:eu-repo/semantics/acceptedVersion
Derechos
openAccess
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