RT info:eu-repo/semantics/bookPart
T1 Clustering U.S. 2016 presidential candidates through linguistic appraisals
A1 González del Pozo, Raquel
A1 García Lapresta, José Luis
A1 Pérez Román, David
K1 Cluster analysis
K1 Análisis de grupos
K1 Presidential candidates
K1 Candidatos presidenciales
K1 Ordinal proximity measures
K1 Medidas de proximidad ordinal
K1 Linguistic appraisal
K1 Valoración lingüística
AB 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.
PB Springer Link
SN 978-3-319-66824-6
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/40596
UL http://uvadoc.uva.es/handle/10324/40596
LA eng
NO 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
NO Producción Científica
DS UVaDOC
RD 25-abr-2024