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

Yıl 2019, Cilt: 28 Sayı: 2, 179 - 197, 15.10.2019

Mert Demircioğlu Erkan Tiyekli

https://doi.org/10.35379/cusosbil.616791

Öz

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.

Anahtar Kelimeler

Fuzzy Analytic Hierarchy Process (F-AHP), TOPSIS, Part-Time Student Selection

Kaynakça

• 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. 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. 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 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). 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.