A comparison of two MCDM methodologies in the selection of a windfarm location in Catalonia

Arayeh Afsordegan, Mónica Sánchez, N. Agell, Juan Carlos Aguado, Gonzalo Gamboa

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

A case study in a social multi-criteria evaluation framework for selecting a windfarm location in the regions of Urgell and La Conca de Barberà in Catalonia is presented. Two different MCDM approaches are introduced and compared through their application to the mentioned case. On the one hand, a Qualitative TOPSIS methodology able to address uncertainty and, able to deal with different levels of precision is considered. On the other hand, we consider the results obtained by a non-compensatory outranking MCDM method. Both approaches are analyzed and their performance in the selection of a windfarm location is compared. Although results show that both methods conduct to similar alternatives rankings, the study highlights both their advantages and drawbacks.

Idioma originalInglés
Título de la publicación alojadaArtificial Intelligence Research and Development - Recent Advances and Applications
EditoresNuria Agell, Oriol Pujol, Lledo Museros
EditorialIOS Press
Páginas227-236
Número de páginas10
ISBN (versión digital)9781614994510, 9781614994527
DOI
EstadoPublicada - 2014
Publicado de forma externa
Evento17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014 - Barcelona, Espana
Duración: 22 oct 201424 oct 2014

Serie de la publicación

NombreFrontiers in Artificial Intelligence and Applications
Volumen269
ISSN (versión impresa)0922-6389

Conferencia

Conferencia17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014
País/TerritorioEspana
CiudadBarcelona
Período22/10/1424/10/14

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