2024-03-28T10:01:26Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/215692021-06-23T10:07:47Zcom_10324_1146com_10324_931com_10324_894col_10324_1263
Aggregating Imprecise Linguistic Expressions
Falcó Díaz de Cerio, Edurne
García Lapresta, José Luis
Roselló, Llorenç
Group decision-making
Producción Científica
In this chapter, we propose a multi-person decision making procedure
where agents judge the alternatives through linguistic expressions generated by an
ordered finite scale of linguistic terms (for instance, ‘very good’, ‘good’, ‘acceptable’,
‘bad’, ‘very bad’). If the agents are not confident about their opinions, they
might use linguistic expressions composed by several consecutive linguistic terms
(for instance, ‘between acceptable and good’). The procedure we propose is based
on distances and it ranks order the alternatives taking into account the linguistic information
provided by the agents. The main features and properties of the proposal
are analyzed.
2016-12-13
2016-12-13
2013
info:eu-repo/semantics/bookPart
Human-Centric Decision-Making Models for Social Sciences, Editors: Peijun Guo, Witold Pedrycz, Springer, 2013, vol.502, p. 97-113 (Studies in Computational Intelligence)
978-3-642-39307-5
http://uvadoc.uva.es/handle/10324/21569
97
113
Human-Centric Decision-Making Models for Social Sciences
eng
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 International
Human-Centric Decision-Making Models for Social Sciences, Editors: Peijun Guo, Witold Pedrycz, Springer, 2013, vol.502, p. 97-113 (Studies in Computational Intelligence)