A hybridized Pythagorean fuzzy AHP and WASPAS method for airline new route selection: Case study of Turkish Airline

Basit Öğe Kaydı
dc.authorid0000-0002-2840-0634
dc.authorid0000-0003-1411-0369
dc.authorid0000-0001-7227-3372
dc.contributor.authorKoma, Şenay
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorHaji Amiri, Misagh
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2025-02-18T06:08:08Z
dc.date.available2025-02-18T06:08:08Z
dc.date.issued2025
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.departmentİHÜ, Lisansüstü Eğitim Enstitüsü, İşletme Ana Bilim Dalı
dc.description.abstractPurpose – This study aims to provide a practical and novel solution for the complex multi-criteria decision-making (MCDM) problem of airline route selection, which is characterized by conflicting criteria, alternative routes, and complex judgments. Design/methodology/approach – This study proposes a hybrid MCDM approach using Interval-valued Pythagorean Fuzzy AHP and Interval-valued Pythagorean Fuzzy weighted aggregated sum product assessment (WASPAS) methods. Decision analysis is applied to select a new route between different alternatives through selection criteria. Pythagorean Fuzzy AHP is used for weighting criteria, and Pythagorean Fuzzy WASPAS is used for assessing alternatives. The pair-wise linguistic comparisons of selection criteria are transferred into Pythagorean fuzzy numbers (PFNs) to weigh each criterion’s importance. Findings – The pair-wise linguistic comparisons of selection criteria are transferred into PFNs to weigh each criterion’s importance. The results of these comparisons show that the main criteria, cost (43% weight) and demand (33% weight), impact route selection decisions more than social/economic conditions (15% weight) and competitiveness (9% weight). Regarding the criteria, the five routes alternative were evaluated by the route development experts, and the best route was selected with Pythagorean Fuzzy WASPAS. Practical implications – The proposed model is used for a route selection problem of Turkish Airlines, the airline that flies to the most countries in the world. Originality/value – To the best of the authors’ knowledge, this study is the first to use the Interval-valued Pythagorean Fuzzy AHP combined with Interval-valued Pythagorean Fuzzy WASPAS to solve the route selection problem. This hybrid MCDM methodology presents a novel and feasible solution for selecting the new route for airlines.
dc.identifier.citationKoma, Ş., Kuşakcı, A. O. & Haji Amiri, M. (2025). A hybridized Pythagorean fuzzy AHP and WASPAS method for airline new route selection: Case study of Turkish Airline. Journal of Modelling in Management. http://doi.org/10.1108/JM2-07-2024-0222
dc.identifier.doi10.1108/JM2-07-2024-0222
dc.identifier.issn1746-5664
dc.identifier.urihttp://doi.org/10.1108/JM2-07-2024-0222
dc.identifier.urihttps://hdl.handle.net/20.500.12154/3206
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorHaji Amiri, Misagh
dc.institutionauthorid0000-0003-1411-0369
dc.institutionauthorid0000-0001-7227-3372
dc.language.isoen
dc.publisherEmerald Publishing
dc.relation.ispartofJournal of Modelling in Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrenci
dc.relation.publicationcategoryTezden Üretilmiş Yayın
dc.relation.publicationcategoryÖğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAirline New Route Selection
dc.subjectInterval-Valued Pythagorean Fuzzy Analytic Hierarchy Process
dc.subjectInterval-Valued Pythagorean Fuzzy WASPAS
dc.titleA hybridized Pythagorean fuzzy AHP and WASPAS method for airline new route selection: Case study of Turkish Airline
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscovery21653521-557b-4059-b2be-1fb429b3258a
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
kusakci-a.pdf
Boyut:
1.38 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ N/A ]
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

İşletme Bölümü Koleksiyonu
Lisansüstü Eğitim Enstitüsü Diğer Yayınlar Koleksiyonu