Autor segons l'article: Merigó, J.M. Moreno, A. Isern, D. Valls, A. Marin, L.
Departament: Enginyeria Informàtica i Matemàtiques
Resum: Linguistic variables are very useful to evaluate alternatives in decision making problems because they provide a vocabulary in natural language rather than numbers. Some aggregation operators for linguistic variables force the use of a symmetric and uniformly distributed set of terms. The need to relax these conditions has recently been posited. This paper presents the induced unbalanced linguistic ordered weighted average (IULOWA) operator. This operator can deal with a set of unbalanced linguistic terms that are represented using fuzzy sets. We propose a new order-inducing criterion based on the specificity and fuzziness of the linguistic terms. Different relevancies are given to the fuzzy values according to their uncertainty degree. To illustrate the behaviour of the precision-based IULOWA operator, we present an environmental assessment case study in which a multiperson multicriteria decision making model is applied.
Àrees temàtiques: Fuzzy logic
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2356-6140
Pàgina final: 19
Volum de revista: 2014
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: http://www.hindawi.com/journals/tswj/2014/642165/
DOI de l'article: 10.1155/2014/642165
Entitat: Universitat Rovira i Virgili.
Any de publicació de la revista: 2014
Pàgina inicial: 1
Repositori URV