Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi

Müslüm Öztürk

doi:10.18016/ksutarimdoga.vi.1800299

EN TR

Selection of Smart Agricultural Drones Using Spherical Fuzzy COPRAS: A Multi-Criteria Uncertain Decision-Making Problem

Abstract

The aim of this study is to develop an integrated decision support model that considers uncertainty in determining the most suitable unmanned aerial vehicle (drone) alternative for agricultural enterprises. In this context, the Spherical Fuzzy-based COPRAS (SFN COPRAS) method, which enables the simultaneous evaluation of quantitative and qualitative criteria in the decision process, was used. Eight main evaluation criteria were identified and weighted based on the opinions of eight experts. The expert evaluations were modeled using spherical fuzzy numbers, and then five drone alternatives (A1–A5) were compared using the SFN-COPRAS method. To test the robustness of the model, a scenario-based sensitivity analysis was conducted by applying changes of up to ±30% in the criterion weights. The results showed that A2 (XAG P30) achieved the highest final score (P_i=1.0000) in all scenarios and was identified as the most suitable drone option. A1 (DJI Agras T30) (P_i=0.9998) and A4 (Yuneec H520) (P_i=0.9997) ranked second and third, respectively, while A5 (Shark Aviation–domestic agricultural spraying drone (Konya)) (P_i=0.9944) and A3 (Parrot Bluegrass) (P_i=0.9913) ranked fourth and fifth. The analysis indicated that changes in criterion weights had limited impact on the ranking and that the method produced stable results. The findings show that the SFN COPRAS method provides robust and consistent decisions under uncertainty and can be effectively used for agricultural drone selection.

Keywords

Ethical Statement

This study does not require ethical approval, as it does not involve any experimental procedures on living subjects, data collection from human participants, or the use of personal data. The study is based solely on literature data, information obtained from secondary sources, and analyses grounded on quantitative evaluations.

Thanks

We sincerely thank the eight-member expert team for their invaluable contributions to this study. Their knowledge, experience, and guidance have been instrumental in enhancing the scientific quality of our research. We also extend our gratitude to all individuals and institutions who contributed, directly or indirectly, to this work. The effort and support of each has significantly contributed to the success of this research.

Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi

Abstract

Bu çalışmanın amacı, tarımsal işletmeler için en uygun insansız hava aracı (drone) alternatifinin belirlenmesinde belirsizliğin etkisini dikkate alan bütünleşik bir karar destek modeli geliştirmektir. Bu kapsamda, karar sürecinde yer alan çok sayıda nicel ve nitel kriteri eşzamanlı olarak değerlendirebilen Küresel Bulanık tabanlı COPRAS (SFN COPRAS) yöntemi kullanılmıştır. Çalışmada sekiz temel değerlendirme kriteri belirlenmiş ve sekiz uzman görüşleriyle ağırlıklandırılmıştır. Uzmanların değerlendirmeleri küresel bulanık sayılar aracılığıyla modellenmiş, ardından SFN-COPRAS yöntemi kullanılarak beş farklı drone alternatifi (A1–A5) çok kriterli olarak karşılaştırılmıştır. Modelin sağlamlığını test etmek amacıyla, kriter ağırlıklarında ±30’a kadar değişim uygulanarak senaryo bazlı duyarlılık analizi gerçekleştirilmiştir. Analiz sonucunda, A2 (XAG P30) alternatifinin tüm senaryolarda en yüksek nihai skor değerine (P_i=1.000) ulaşarak en uygun drone seçeneği olarak belirlenmiştir. A1 (DJI Agras T30) (P_i=0.9998) ve A4 (Yuneec H520) (P_i=0.9997) alternatifleri sırasıyla ikinci ve üçüncü sırada yer almış, A5 (Shark Havacılık-Yerli ilaçlama dronu (Konya)) (P_i=0.9944) ve A3 (Parrot Bluegrass) (P_i=0.9913) ise nispeten düşük skorları nedeniyle dördüncü ve beşinci sırada kalmıştır. Senaryo testlerinde, kriter ağırlıklarındaki değişimlerin sıralama üzerinde yalnızca sınırlı etkiler yarattığı ve yöntemin yüksek düzeyde stabil sonuçlar ürettiği tespit edilmiştir. Elde edilen bulgular, SFN COPRAS yönteminin belirsizlik koşullarında sağlam (robust) ve tutarlı kararlar verebildiğini göstermiştir. Böylece SFN COPRAS yaklaşımının, tarımsal drone seçimi gibi yüksek belirsizlik içeren alanlarda karar destek mekanizması olarak etkin bir şekilde kullanılabilir olduğu görülmüştür.

Keywords

Ethical Statement

Bu çalışma, herhangi bir canlı üzerinde deneysel bir uygulama, insan katılımcılardan veri toplama veya kişisel verilerin kullanımı içermediğinden etik kurul onayı gerektirmemektedir. Çalışma kapsamında yalnızca literatür verileri, ikincil kaynaklardan elde edilen bilgiler ve nicel değerlendirmelere dayalı analizler yapılmıştır.

Thanks

Bu çalışmanın gerçekleştirilmesinde değerli katkıları bulunan sekiz uzman ekibe içten teşekkürlerimizi sunarız. Sağladıkları bilgi, deneyim ve rehberlik, çalışmamızın bilimsel niteliğini artırmada büyük önem taşımıştır. Ayrıca, çalışmamıza dolaylı veya doğrudan katkıda bulunan tüm kişi ve kurumlara teşekkür ederiz. Her birinin emeği ve desteği, araştırmanın başarısına önemli ölçüde katkı sağlamıştır.

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Details

Primary Language

Turkish

Subjects

Agricultural Machines, Agricultural Structures, Sustainable Agricultural Development, Agricultural Policy

Journal Section

Research Article

Authors

Müslüm Öztürk ^*
0000-0003-1941-3115
Türkiye

Early Pub Date

September 20, 2026

Publication Date

-

Submission Date

October 9, 2025

Acceptance Date

May 7, 2026

Published in Issue

Year 2026 Number: Advanced Online Publication

DOI

https://doi.org/10.18016/ksutarimdoga.vi.1800299

IZ

https://izlik.org/JA35YG29KG

Cite

RIS / Bibtex

APA

Öztürk, M. (2026). Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, Advanced Online Publication, 115-144. https://doi.org/10.18016/ksutarimdoga.vi.1800299

AMA

1.Öztürk M. Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi. KSU J. Agric Nat. 2026;(Advanced Online Publication):115-144. doi:10.18016/ksutarimdoga.vi.1800299

Chicago

Öztürk, Müslüm. 2026. “Küresel (Spherical) Bulanık COPRAS Ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi”. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, no. Advanced Online Publication: 115-44. https://doi.org/10.18016/ksutarimdoga.vi.1800299.

EndNote

Öztürk M (September 1, 2026) Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi Advanced Online Publication 115–144.

IEEE

[1]M. Öztürk, “Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi”, KSU J. Agric Nat., no. Advanced Online Publication, pp. 115–144, Sept. 2026, doi: 10.18016/ksutarimdoga.vi.1800299.

ISNAD

Öztürk, Müslüm. “Küresel (Spherical) Bulanık COPRAS Ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi”. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi. Advanced Online Publication (September 1, 2026): 115-144. https://doi.org/10.18016/ksutarimdoga.vi.1800299.

JAMA

1.Öztürk M. Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi. KSU J. Agric Nat. 2026;:115–144.

MLA

Öztürk, Müslüm. “Küresel (Spherical) Bulanık COPRAS Ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi”. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, no. Advanced Online Publication, Sept. 2026, pp. 115-44, doi:10.18016/ksutarimdoga.vi.1800299.

Vancouver

1.Müslüm Öztürk. Küresel (Spherical) Bulanık COPRAS ile Akıllı Tarım Dronu Seçimi: Çok Kriterli Belirsiz Karar Problemi. KSU J. Agric Nat. 2026 Sep. 1;(Advanced Online Publication):115-44. doi:10.18016/ksutarimdoga.vi.1800299