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

Arayeh Afsordegan, Mónica Sánchez, Núria Agell, Juan Carlos Aguado, Gonzalo Gamboa

Research output: Book chapterConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development - Recent Advances and Applications
EditorsNuria Agell, Oriol Pujol, Lledo Museros
PublisherIOS Press
Pages227-236
Number of pages10
ISBN (Electronic)9781614994510, 9781614994527
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014 - Barcelona, Spain
Duration: 22 Oct 201424 Oct 2014

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume269
ISSN (Print)0922-6389

Conference

Conference17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014
Country/TerritorySpain
CityBarcelona
Period22/10/1424/10/14

Keywords

  • Multi-criteria decision-making
  • TOPSIS
  • linguistic labels
  • qualitative reasoning
  • wind energy

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