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  4. A Novel Z-Fuzzy AHP&EDAS Methodology ...

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Cited by 7
A Novel Z-Fuzzy AHP&EDAS Methodology and Its Application to Wind Turbine Selection

A Comparative Analysis of Classical AHP, Fuzzy AHP, and Z-Fuzzy AHP Methods for Flood Risk Assessment in Büyükçekmece District
Gülşah Kılıç, Oğuz Altıntaş
https://doi.org/10.1007/978-3-031-70018-7_14
Book  Lecture Notes in Networks and Systems (Intelligent and Fuzzy Systems) Volume 1088 (2024), p. 120
A fuzzy decision-making network model for offshore wind turbine selection based on simulated annealing algorithm
Jie Xue, Hao Yang, Yuanming Song, Chengwei Zhang, Hao Hu
https://doi.org/10.1016/j.oceaneng.2024.119816
Journal  Ocean Engineering Volume 315 (2025), p. 119816
An integrated picture fuzzy Z-AHP & TOPSIS methodology: Application to solar panel selection
Nurdan Tüysüz, Cengiz Kahraman
https://doi.org/10.1016/j.asoc.2023.110951
Journal  Applied Soft Computing Volume 149 (2023), p. 110951
Financing mode decision of characteristic tourist town based on improved G1 and Z-number-TOPSIS: the Chinese case
Lingmei Fang
https://doi.org/10.1108/K-07-2024-1837
Journal  Kybernetes (2024)
Fuzzy Set-Based Approaches in Wind Energy Research: A Literature Review
Ecem Cem, Selcuk Cebi
https://doi.org/10.1007/978-3-031-67192-0_48
Book  Lecture Notes in Networks and Systems (Intelligent and Fuzzy Systems) Volume 1090 (2024), p. 425
LR-Type Z Fuzzy Numbers and Their Usage in MCDM Problems
Cengiz Kahraman, Sezi Cevik Onar, Basar Öztaysi
https://doi.org/10.1007/978-3-031-39774-5_41
Book  Lecture Notes in Networks and Systems (Intelligent and Fuzzy Systems) Volume 758 (2023), p. 346
Multi-objective optimization and improved decision-making in renewable energy investments for enhancing wind turbine selection: Framework and a case study
Ouiame El Fadli, Hala Hmamed, Ahmed Lagrioui
https://doi.org/10.1016/j.enconman.2024.119464
Journal  Energy Conversion and Management Volume 326 (2025), p. 119464


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