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A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method.
Deveci, Muhammet; Özcan, Ender; John, Robert; Covrig, Catalin-Felix; Pamucar, Dragan.
Afiliação
  • Deveci M; Department of Industrial Engineering, Naval Academy, National Defense University, 34940 Tuzla, Istanbul, Turkey; Computational Optimisation and Learning (COL) Lab, School of Computer Science, University of Nottingham, NG8 1BB, Nottingham, UK. Electronic address: muhammetdeveci@gmail.com.
  • Özcan E; Computational Optimisation and Learning (COL) Lab, School of Computer Science, University of Nottingham, NG8 1BB, Nottingham, UK. Electronic address: ender.ozcan@nottingham.ac.uk.
  • John R; Computational Optimisation and Learning (COL) Lab, School of Computer Science, University of Nottingham, NG8 1BB, Nottingham, UK. Electronic address: robert.john@nottingham.ac.uk.
  • Covrig CF; European Commission, JRC-Directorate C Energy, Transport and Climate, Postbus 2, 1755, ZG Petten, Netherlands. Electronic address: catalin-felix.covrig@ec.europa.eu.
  • Pamucar D; Department of Logistics, University of Defence, Belgrade 11000, Serbia. Electronic address: dpamucar@gmail.com.
J Environ Manage ; 270: 110916, 2020 Sep 15.
Article em En | MEDLINE | ID: mdl-32721349
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vento / Fontes Geradoras de Energia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vento / Fontes Geradoras de Energia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article