Multi-criteria and multi-expert wind power farm location selection using a pythagorean fuzzy analytic hierarchy process
| dc.authorscopusid | 56008026000 | |
| dc.authorscopusid | 36158256500 | |
| dc.contributor.author | Otay,I. | |
| dc.contributor.author | Jaller,M. | |
| dc.date.accessioned | 2024-05-25T12:33:34Z | |
| dc.date.available | 2024-05-25T12:33:34Z | |
| dc.date.issued | 2020 | |
| dc.department | Okan University | en_US |
| dc.department-temp | Otay I., Faculty of Engineering, Department of Industrial Engineering, Istanbul Okan University, Akfirat-Tuzla, Istanbul, 34959, Turkey; Jaller M., Department of Civil and Environmental Engineering, Institute of Transportation Studies, University of California, One Shields Ave, Ghausi Hall, Room 3143, Davis, 95616, CA, United States | en_US |
| dc.description.abstract | This study focuses on the evaluation and selection of wind power farm locations. We propose a systematic approach using Fuzzy Analytic Hierarchy Process (AHP) based on interval-valued Pythagorean fuzzy sets to consider uncertainties and lack of information in the decision-making environment of real-life applications. The approach enables better representation of membership and non-membership functions. The study fills the gap in the literature by proposing the application of a Pythagorean Fuzzy AHP method. We test the proposed method with a real-life problem in Turkey based on the judgements of three experts/decision-makers, and compare the results with interval-valued Type-2 AHP method. © 2020, Springer Nature Switzerland AG. | en_US |
| dc.identifier.citationcount | 9 | |
| dc.identifier.doi | 10.1007/978-3-030-23756-1_108 | |
| dc.identifier.endpage | 914 | en_US |
| dc.identifier.isbn | 978-303023755-4 | |
| dc.identifier.issn | 2194-5357 | |
| dc.identifier.scopus | 2-s2.0-85069453814 | |
| dc.identifier.startpage | 905 | en_US |
| dc.identifier.uri | https://doi.org/10.1007/978-3-030-23756-1_108 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/2495 | |
| dc.identifier.volume | 1029 | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Verlag | en_US |
| dc.relation.ispartof | Advances in Intelligent Systems and Computing -- International Conference on Intelligent and Fuzzy Systems, INFUS 2019 -- 23 July 2019 through 25 July 2019 -- Istanbul -- 228529 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 11 | |
| dc.subject | Interval-valued Pythagorean fuzzy sets | en_US |
| dc.subject | Location selection | en_US |
| dc.subject | Pythagorean fuzzy AHP | en_US |
| dc.subject | Wind energy | en_US |
| dc.title | Multi-criteria and multi-expert wind power farm location selection using a pythagorean fuzzy analytic hierarchy process | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication |