SavedAdd your journal

Journals / Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2012 / Cilt: 0 - Sayı: 40

Municipalities public transport vehicle selection using fuzzy AHP

Bulanık AHP ile belediyelerin toplu taşıma araç seçimi

Seyedhadi ESLAMIAN
Ümran ŞENGÜN
Miraç EREN
Pages
143–165
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Ranking amongalternatives is made by using Quadratic Mean and the Kwong-Bai technique to rank fuzzy numbers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Social, environmental, structural, political etc. intangible factors, and the best way is theuse of a limited budget is necessary to choose according to need with the problem of public sectorservices are often encountered.
📊
Key Findings & Data:In this study, by considering the problem of selection of the municipalities of publictransport vehicles, in order to state accurately the linguistic uncertainty in the pairwise comparison judgments of the alternatives, the Chang s Extent Analysis Method which is one of the FuzzyAnalytic Hierarchy Process techniques, has been used as a prioritization method.
💡
Conclusion & Impact:Ranking amongalternatives is made by using Quadratic Mean and the Kwong-Bai technique to rank fuzzy numbers.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Social, environmental, structural, political etc. intangible factors, and the best way is theuse of a limited budget is necessary to choose according to need with the problem of public sectorservices are often encountered. Multi-criteria decision-making techniques, Analytical HierarchyProcess (AHP), is used to solve these kinds of problems with multiple criteria decision-makingmethod. In this study, by considering the problem of selection of the municipalities of publictransport vehicles, in order to state accurately the linguistic uncertainty in the pairwise comparison judgments of the alternatives, the Chang s Extent Analysis Method which is one of the FuzzyAnalytic Hierarchy Process techniques, has been used as a prioritization method. Ranking amongalternatives is made by using Quadratic Mean and the Kwong-Bai technique to rank fuzzy numbers.

Özet

Sosyal, çevresel, yapısal, politik v.b. soyut faktörlerin olduğu ve kısıtlı bütçenin en iyi şekilde kullanılmasının zorunlu olduğu kamu hizmet sektöründe ihtiyaca göre seçim yapılmasıproblemiyle sık sık karşılaşılır. Çok kriterli karar verme tekniklerinden, Analitik Hiyerarşi Prosesi(AHP), birden çok kriter içeren bu tür problemlerin çözümünde kullanılan bir karar verme yöntemidir. Bu çalışmada belediyelerin toplu taşıma araç seçim problemi ele alınarak ikili karşılaştırmayargılarındaki sözel belirsizliği daha iyi ifade etmek amacıyla Bulanık Analitik Hiyerarşi Prosesitekniklerinden biri olan Changin Mertebe Analiz Yöntemi kullanılmıştır. Bulanık sayıları sıralamak için ise Kareli Ortalama ve Kwong-Bai yöntemi kullanılarak alternatifler arasında sıralamayapılmıştır

🔖

Cite This Article

ESLAMIAN, S., ŞENGÜN, Ü., EREN, M. (2022). Municipalities public transport vehicle selection using fuzzy AHP. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 0 - Sayı: 40, 143–165. https://ajindex.com/articles/503559

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (19)

  1. ABDEL-KADER, Magdy and David DUGDALE; (2001), “Evaluating Investments in Advanced Manufacturing Technology: A Fuzzy set Theory Approach.” British Accounding Rewiev, 33, pp. 455-489.
  2. ARSLAN, Turan and Jotin KHIRSTY; (2006), “A Rational Approach to Handling Fuzzy Perceptions in Route Choice”, Europen Journal of Operational Research, 168(29), pp. 571-583.
  3. BAAS, Sejoerd M. and Huibert KWAKERNAAK; (1977), “Rating and Ranking of Multiple Aspect Alternatives Using Fuzzy Sets”, Automatica, 13, pp. 47-58.
  4. BAŞKAYA, Zehra; (2011),
  5. Bulanık Doğrusal Programlama, Birinci Baskı, Bursa: Ekin Yayınevi.
  6. BAYKAL, Nazife ve Timur BEYAN; (2004),
  7. Bulanık Mantık İlke Ve Temelleri, Birinci Baskı, Ankara:
  8. Bıçaklar Kitabevi.
  9. BORTOLAN, Giovanni and Rossana DEGANI; (1985), “A Review of Some Methods for Ranking Fuzzy Numbers”, Fuzzy Sets and Systems, 15, pp. 1-19.
  10. BUCKLEY, James J.; (1985), "Fuzzy Hierarchical Analysis", Fuzzy Sets and Systems, 17(3), pp. 233-247.
  11. CHANG, Da-Yong; (1996), “Applications of the Extent Analysis Method on Fuzzy AHP”, European Journal of Operational Research, 95(3), pp. 649-655.
  12. CHEN, Shu-Jen; Ching-Lai HWANG and Frank P. HWANG; (1992), Fuzzy Multiple Attribute Decision Making: Methods and Applications, First Edition, Berlin- Verlag: Springer. CHE, ZhengHua; HerShing WANG and Chih-Ling CHUANG; (2010), “A Fuzzy AHP and DEA Approach for Making Bank Loan Decisions For Small and Medium Enterprises in Taiwan”, Expert Systems with Applications, 37(10), pp. 7189-7199.
  13. CHOOBINEH, Fred and Li HUISHEN; (1993), " An Index for Ordering Fuzzy Numbers", Fuzzy Sets and Systems, 54(3), pp. 287-294.
  14. ERTUĞRUL, İrfan; (2007), “Bulanık Analitik Hiyerarşi Süreci ve Bir Tekstil İşletmesinde Makine Seçim Problemine Uygulanması”, Hacettepe Üniversitesi İİBF Dergisi, 25(1), ss. 171-192.
  15. EZZATI, Rosli; Tofigh ALLAHVIRANLOO; Solmaz KHEZERLOO and Mesiam KHEZERLOO; (2012), “An Approach for Ranking of Fuzzy Numbers”, Expert Systems with Applications, 39, pp. 690-695.
  16. GASIMOV, Rafail N.; (2004),
  17. Karar Analizi, Osman Gazi Üniversitesi, Endüstri Mühendisliği Bölümü Ders Notları. GÖKSU, Ali ve İbrahim GÜNGÖR; (2008), “Bulanık Analitik Hiyerarşik Proses ve Üniversite Tercih Sıralamasında Uygulanması” Süleyman Demirel Üniversitesi İ.İ.B.F. Dergisi,13(3), ss. 1-26.
  18. GÜNDEN, Cihat ve Bülent MİRAN; (2008), “Bulanık Analitik Hiyerarşi Süreci Kullanarak Çiftçi Kararlarının Analizi”, Ege Üniversitesi Ziraat Fakültesi Dergisi, 45(3), ss. 195-204.
  19. GÜNGÖR, İbrahim ve İŞLER Büyüker Didar; (2005), “Analit