Analysis of sports vehicle selection criteria with the furious analytical hierarchy process method
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Multi-criteria decision making (MCDM) methods are used in solving decision problems, determining the best among multiple alternatives and analyzing preferences in the most ideal way. In this study, it is aimed to determine the weights of the criteria for preference of Sports Purpose Vehicles (SUV) with increasing demand. The personal criteria and objective criteria of the decision makers who prefer to buy an SUV while being a passenger car user were evaluated with the Fuzzy Analytical Hierarchy Process (FAHP), which is one of the multi-criteria decision-making methods, and according to the findings, which is the most important criterion for the decision makers. A semi-structured questionnaire was used as a data collection method in the study. Semi-structured questionnaires were applied to ten different consumers who had purchased SUVs. Microsoft Excel spreadsheet program was used for the digitization and analysis of the data obtained from the consumers with the questionnaire form.
Author
Yusuf Kür
Institution
How to Cite
Yusuf Kür (Master Thesis). Analysis of sports vehicle selection criteria with the furious analytical hierarchy process method, 2022, Adıyaman University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Adıyaman University
- The analysis of the vocabulary in Dîvânu Lugâti't-Türk and Karachay-Balkar Turkish(2025)
- Shari?a Registry numbered 282, Hısn-ı Mansûr (Adıyaman) (H. 1315/1316 M.1898/1899)(2012)
- Comparing in terms of language functions of Sultani Öldürmek novel by Ahmet Ümi̇t with Cepheden Cepheye novel by Hesen Seyidbeyli(2016)
- According to the 747 Numbered Tahrir Daftar Avlonya(2018)
- Ahlat in medieval(2021)
- Changes in craniovertebral junction morphometry according to age and gender: A retrospective study(2023)
