Kiralama sektörünün gelişimine yönelik tasarlanan bir matematiksel model

Öz

Bu çalışma araç kiralamak isteyen bir kişinin ihtiyacına en uygun olan aracı bulması konusundaki belirsizliği yenmesi içindir. Bunun için bulanık parametreli (FP-)esnek kümelerden faydalanıldı. Dahası bu kümeler için Çağman ve diğ. [6] tarafından önerilen bir algoritmadan faydalanılarak “Visual Studio, Microsoft Form App (.Net Framework)” da C# programlama dilinde bir uygulama yazıldı ve araç kiralamak isteyen herhangi bir kişinin taleplerine en uygun aracı bulabilmesi sağlandı. Bu sayede bu uygulamayı kullanan araç kiralama şirketleri insanlar tarafından daha tercih edilebilir bir hale gelebilir. Son olarak yazılan uygulama için “Microsoft SQL Server Management Studio” kullanıldı, böylece araç kiralama şirketindeki araç filosundaki değişimler ve müşteri taleplerinin takip edilebilmesi sağlandı.

Anahtar Kelimeler

• FP-esnek küme
• araç kiralama sektörü
• karar verme

A mathematical model designed for the development of the rental industry

Öz

This study is for overcoming the uncertainty about finding a car that best suits the needs of a person who wants to rent a car. For this, fuzzy parameterized (FP-)soft sets were used. Moreover, by using an algorithm proposed by Çağman vd. [6] for these sets, an application was written in C# programming language in “Visual Studio, Microsoft Form App (.Net Framework)” and it was ensured that any person who wants to rent a car can find the vehicle that best suits their demands. In this way, the car rental companies using this application can become more preferable by people. Finally, the “Microsoft SQL Server Management Studio” was used for the written application, so that changes in the vehicle fleet at the car rental company and customer demands can be tracked.

Anahtar Kelimeler

• FP-soft set
• the car rental industry
• decision making

Kaynakça

1. Zadeh, L. A., Fuzzy sets, Information and Control, 1965, 8, 338-353.
2. Şimşek, M., Yarımoğlu, E., Araç kiralama sektöründe hizmet kalitesi, memnuniyet ve sadakat ilişkileri, Ege Akademik Bakış, 2019, 19 (1), 89-101.
3. Molodtsov, D., Soft set theory-first results, Comput. Math. Appl., 1999, 37, 19-31.
4. Molodtsov, D., The theory of soft sets, URSS Publishers, Moscow, 2004.
5. Maji, P. K., Roy, A. R., Biswas, R., Fuzzy soft sets, Journal of Fuzzy Mathematics, 2001, 9 (3), 589-602.
6. Çağman, N., Çıtak, F., Enginoğlu, S., FP-soft Set Theory and Its Applications, Annals of Fuzzy Mathematics and Informatics, 2011, 2 (2), 219-226.
7. Ural, G. F., Bulanık doğrusal programlama metodu kullanılarak bir sanayi kuruluşunda üretim planlama çalışmasının gerçekleştirilmesi. Yüksek Lisans Tezi, Kocaeli Üniversitesi Sosyal Bilimler Enstitüsü, Kocaeli, Türkiye 2006.
8. Tüm Oto Kiralama Kuruluşları Derneği, TOKKDER Operasyonel Kiralama Sektör Raporu-2020 Yılı 1. Çeyrek, https://tokkder.org/tokkder-dergi/3139 (03.05.2020).

9. Mohammed, S. S., On Fuzzy Soft Set-Valued Maps with Application, Journal of the Nigerian Society of Physical Sciences, 2020, 2 (1), 26-35.
10. Khalil, A. M., Nasruddin, H., Inverse fuzzy soft set and its application in decision making, International Journal of Information and Decision Sciences, 2019, 11 (1), 73-92.
11. Alcantud, J. C. R., Varela, G., Santos-Buitrago, B., Santos-Garcia, G, Jimenez, M. F., Analysis of survival for lung cancer resections cases with fuzzy and soft set theory in surgical decision making, PloS one, 2019, 14 (6).
12. Wen, T. C., Chang, K. H., Lai, H. H., Integrating the 2-tuple linguistic representation and soft set to solve supplier selection problems with incomplete information, Engineering Applications of Artificial Intelligence, 2020, 87, 103248.
13. Witarsyah, D., Fudzee, M. F. M., Salamat, M.A., Yanto, I. T. R., Abawajy, J., Soft Set Theory Based Decision Support System for Mining Electronic Government Dataset, International Journal of Data Warehousing and Mining (IJDWM), 2020, 16 (1), 39-62.
14. Marijanovic, K., Differentiation Of Car Rental Services In The Croatian Market, Preliminary Communication, 2010, 22, 113-128.
15. Datamonitor, Avis Budget Group Company Profile, 2011, www.datamonitor.com, (Erişim: 01.01.2013).
16. Weiermair, K., Product Improvement Or Innovation: What Is The Key To Success In Tourism?, Published by OECD, 2004, 1-11.
17. Türkay, O., Akay, B., Araç kiralama sektöründe rekabet belirleyicilerinin işletme performansına etkisi: turizm destinasyonlarında bir araştırma, Yönetim Bilimleri Dergisi, 2016, 14 (27), 433-472.
18. Deli, I., Çağman, N., Relations on FP-soft sets applied to decision making problems, arXiv preprint arXiv:1402.3096, 2014.
19. Çağman, N., Çıtak, F., Enginoglu, S., FP-soft set theory and its applications, Ann. Fuzzy Math. İnform, 2011, 2 (2), 219–226.
20. Çağman, N., Deli, I., Means of FP-soft sets and its applications, Hacettepe J. Math. Stat., 2012, 41 (5), 615–625.
21. Öztoprak, E., Kiralama Yoluyla Araba Temin Eden Bir İşletmede AHP Yöntemi Uygulaması, Journal of Graduate School of Social Sciences, 2014, 18 (2).
22. Bayram, A., Türkay, O., Araç Kiralama İşletmelerine Yönelik Müşteri Şikayetlerinin Analizi, Ejovoc (Electronic Journal of Vocational Colleges), 2014, 4 (4), 138-146.
23. Şimşek, M., Yarimoğlu, E., Araç Kiralama Sektöründe Hizmet Kalitesi, Memnuniyet ve Sadakat İlişkileri, Ege Akademik Bakis, 2019, 19 (1), 89-101.
24. Demirtaş, N., Hussaın, S., Dalkılıç, O., New approaches of inverse soft rough sets and their applications in a decision making problem, Journal of applied mathematics and informatics, 2020, 38 (3-4), 335-349.
25. Demirtaş, N., Dalkılıç, O., An application in the diagnosis of prostate cancer with the help of bipolar soft rough sets, on Mathematics and Mathematics Education (ICMME 2019), KONYA, 283, 2019.
26. Dalkılıç, O., Demirtas, N., VFP-Soft Sets and Its Application on Decision Making Problems, Journal of Polytechnic, https://doi.org/10.2339/politeknik.685634, 2020.
27. Dalkılıç, O., An Application of VFPFSS’s in Decision Making Problems, Journal of Polytechnic, https://doi.org/10.2339/politeknik.758474, 2020.
28. Dalkılıç, O., Demirtaş, N., Bipolar soft filter, Journal of Universal Mathematics, 2020, 3 (1), 21-27.
29. Demirtaş, N., Dalkılıç, O., Decompositions of Soft α-continuity and Soft A-continuity, Journal of New Theory, 2020, (31), 86-94.
30. Rehan, U., Online Rent A Car System, Journal of Information and Communication Technology (JICT), 2019, 13 (1).
31. Effendy, I., Fatoni, F., Implementation of Android-Based Vehicle Tracking System in Trac Astra Rent A Car Palembang, Journal of Information Systems and Informatics, 2020, 2 (1), 169-177.
32. Han, C. H., Jeon, S., Shim, S., Yoo, B., Smart Pricing in Action: The Case of Asset Pricing for a Rent-a-Car Company, Asia Pacific Journal of Information Systems, 2019, 29 (4).
33. Rozi, N. F., Ruswiansari, M., Rachman, A., Wardhana, S. R., Istiyanto, L., (2019, January). The Development of LIDI: A Web-Based Car Rent Marketplace Application in Sidoarjo, Indonesia, In The 1st International Conference on Advanced Engineering and Technology, IOP Conf. Series: Materials Science and Engineering (Vol. 462, No. 012052, pp. 1-6).
34. Alencar, V. A., Rooke, F., Cocca, M., Vassio, L., Almeida, J., Vieira, A. B., Characterizing client usage patterns and service demand for car-sharing systems, Information Systems, 2019, 101448.
35. Viranata, A., Setyaningsih, E. R., Gunawan, T. P., Rent Car Online Boro, Journal of Information System, Graphics, Hospitality and Technology, 2020, 2 (02), 43-46.
36. Ulkhaq, M. M., Wijayanti, W. R., Zain, M. S., Baskara, E., Leonita, W., (2018, March), Combining the AHP and TOPSIS to evaluate car selection. In Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications (pp. 112-117).
37. Chaubey, S. K., Using MCDM technıque-TOPSIS for selecting small passenger car, PalArch's Journal of Archaeology of Egypt/Egyptology, 2020, 17 (6), 6045-6050.
38. Byun, D. H., The AHP approach for selecting an automobile purchase model, Information and Management, 2001, 38 (5), 289-297.
39. Sueyoshi, T., Shang, J., Chiang, W. C., A decision support framework for internal audit prioritization in a rental car company: A combined use between DEA and AHP, European Journal of Operational Research, 2009, 199 (1), 219-231.