2024-03-28T15:48:58Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/405962021-06-23T10:07:54Zcom_10324_1146com_10324_931com_10324_894col_10324_1263
Clustering U.S. 2016 presidential candidates through linguistic appraisals
González del Pozo, Raquel
García Lapresta, José Luis
Pérez Román, David
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.
2020-03-09T13:53:15Z
2020-03-09T13:53:15Z
2020-03-09T13:53:15Z
2017
info:eu-repo/semantics/bookPart
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
978-3-319-66824-6
http://uvadoc.uva.es/handle/10324/40596
eng
https://link.springer.com/chapter/10.1007%2F978-3-319-66824-6_13
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
© 2017 Springer
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