Dergiler / Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2026 / Cilt: 28 Sayı: 2

FUZZY ANALYTIC HIERARCHY PROCESS AND TOPSIS FOR PART-TIME STUDENT SELECTION

Sayfa
179–197
Yayın Tarihi
2019-10-15
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Using TOPSIS software developed and with this software has been shown to accomplish a fairer choice than the other available part-time student selection tool currently used.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The object of this study is about offering possible solutions to deal with the problems emerged in the selection of students working part-time in higher education institutions.
📊
Temel Bulgular & Veri:University students are employed in accordance with their class hours according to the procedures and principles of part-time student work in higher education institutions in certain units of university.
💡
Sonuç & Katkı:Using TOPSIS software developed and with this software has been shown to accomplish a fairer choice than the other available part-time student selection tool currently used.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Fuzzy Analytic Hierarchy Process (F-AHP) · TOPSIS · Part-Time Student Selection

Özet

The object of this study is about offering possible solutions to deal with the problems emerged in the selection of students working part-time in higher education institutions. University students are employed in accordance with their class hours according to the procedures and principles of part-time student work in higher education institutions in certain units of university. These students are employed in temporary jobs in their spare times besides their education hours according to their interests and skills contributing to their growth as productive individuals with discipline by providing both financial gain and application skills. Universities may encounter more demands than their needs whether they carry certain criteria for working in designated units. There may be unjustness in selection of the most suitable student due to these demands. In this study, a software was developed for assigning these part-time students applied to work on the web environment by using the Fuzzy Analytic Hierarchy Process (F-AHP) method. Using TOPSIS software developed and with this software has been shown to accomplish a fairer choice than the other available part-time student selection tool currently used.

🔖

Bu Makaleye Atıf Yap

Demircioğlu, M., Tiyekli, E. (2019). FUZZY ANALYTIC HIERARCHY PROCESS AND TOPSIS FOR PART-TIME STUDENT SELECTION. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 28 Sayı: 2, 179–197. https://doi.org/10.35379/cusosbil.616791

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (5)

  1. References Anık, Z. (2007, Haziran). Nesne Yönelimli Yazılım Dillerinin Analitik Hiyerarşi Ve Analitik Network Prosesi İle Karşılaştırılması Ve Değerlendirilmesi. Gazi Üniversitesi Fen Bilimleri Enstitüsü. Ayhan, M. B. (2013). A Fuzzy Ahp Approach For Supplier Selection Problem: A Case Study In A Gearmotor Company. International Journal of Managing Value and Supply Chains, 4(3), 11-23. doi:10.5121/ijmvsc.2013.4302 Chang, D. Y. (1996). Applications Of The Extent Analysis Method On Fuzzy AHP. European Journal of Operational Research, 4(7), 649-655. doi:10.1016/j.ejor.2007.01.050 Erdoğan, İ. (1991). İşletmelerde Personel Seçimi ve Başarı Değerleme Teknikleri. İstanbul: İşletme İktisadı Enstitüsü Yayınları.
  2. Felek, S., Yurdakul, Y., & Aladağ, Z. (2007). Mobil Iletişim Sektöründe Pazar Paylaşiminin Tahmininde Ahp Ve Anp Yöntemlerinin Kiyaslamasi. Endüstri Mühendisliği Dergisi, 18(1), 6-22.
  3. Fülop, J. (2019, March 21). Introduction to Decision Making Methods. semanticscholar.org: https://pdfs.semanticscholar.org/e0d8/d4fd210c4aeae40560c7332711c7cc8dc5df.pdf adresinden alındı Laarhoven, V. (1983). A Fuzzy Extension Of Saaty‟s Priority Theory. Fuzzy Sets and Systems, 1(11), 199-227. doi:10.1016/S0165-0114(83)80082-7
  4. Lengacher, D., & Cammarata, C. (2012). A Two-Phase Data Envelopment Analysis Model for Portfolio Selection. Advances in Decision Sciences, 1-9. doi:10.1155/2012/869128 Saaty, T. L., & Vargas, L. G. (2001).
  5. Models, Methods, Concepts & Applications of The Analytic Hierarchy Process. New York: Springer. Tsaur, R. C. (2011). Decision Risk Analysis For An Interval TOPSIS Method. Applied Mathematics and Computation, 8(218), 4295-4304. doi:10.1016/j.amc.2011.10.001 Winston, W. L. (2004). Operations Research: Applications and Algorithms (4. b.). Canada: Thomson Learning.