A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS

Sümeyra Sezer Kaplan; Fatih Güçlü

doi:10.71284/jmtpr.2026716

TR EN

1989-2024 YILLARI ARASINDA BULANIK RİSK ANALİZİNE YÖNELİK BİBLİYOMETRİK ANALİZ

Öz

Bu çalışmada, bulanık risk değerlendirme literatürünü uzun dönemli bir perspektiften incelemek amacıyla bibliyometrik analiz yapılmıştır. Bulanık mantık temelli risk değerlendirme yaklaşımları, belirsizlik ve eksik bilgi koşullarında özellikle mühendislik, güvenilirlik analizi, süreç yönetimi, enerji ve çevre sistemleri, ulaşım güvenliği ve karar verme bilimleri gibi alanlarda yaygın olarak kullanılmaktadır. Scopus veritabanından 18 Şubat 2026 tarihinde elde edilen veriler kullanılarak 1983–2026 döneminde indekslenen 1230 belge Bibliometrix R paketi ve Biblioshiny arayüzü ile analiz edilmiştir. 2025 ve 2026 yayınlarının dahil edilmesi, erken erişim kayıtları sayesinde çalışmanın güncelliğini artırmıştır. Bulgular, yayın sayısının 2008 sonrasında hızla arttığını ve 2018–2024 döneminde zirveye ulaştığını göstermektedir. Anahtar kelime analizleri “risk assessment”, “FTA”, FMEA “FMEA/FMECA”, “fuzzy FMEA” ve “fuzzy logic” kavramlarının literatürde merkezi rol oynadığını ortaya koymuştur. Tematik evrim, erken dönem güvenilirlik odaklı yaklaşımlardan hibrit risk modelleri ve bütünleşik karar destek sistemlerine yönelim olduğunu göstermektedir. Ülkeler bazında Çin lider konumda olup Hindistan, İran ve Türkiye tarafından izlenmektedir. Kurumsal düzeyde Islamic Azad University ve University of Tehran öne çıkarken, Chen Shyiming en etkili araştırmacı olarak belirlenmiştir. Bulgular, alanın metodolojik olarak çeşitlenerek karmaşık belirsizlik ortamlarında artan önemini sürdürdüğünü göstermektedir.

Anahtar Kelimeler

Bibliyometrik analiz, Bulanık risk, Bulanık risk analizi, Bulanık risk yönetimi, Bulanık risk değerlendirmesi, Bibliometrix.

A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS

Öz

This study presents a bibliometric analysis of the fuzzy risk assessment literature from a long-term perspective. Fuzzy logic–based risk assessment approaches are widely used under conditions of uncertainty and incomplete information, particularly in engineering, reliability analysis, process management, energy and environmental systems, transportation safety, and decision sciences. Using data retrieved from the Scopus database on 18 February 2026, a total of 1230 documents indexed between 1983 and 2026 were analyzed using the Bibliometrix R package and the Biblioshiny interface. The inclusion of publications from 2025 and 2026, enabled by early-access indexing, enhances the timeliness of the study. The findings indicate that publication output increased rapidly after 2008 and peaked during the 2018–2024 period. Keyword analysis reveals that “risk assessment,” “FTA,” FMEA/FMECA,” “fuzzy FMEA,” and “fuzzy logic” play central roles in the literature. Thematic evolution shows a shift from early reliability-oriented approaches toward hybrid risk models and integrated decision-support systems. China ranks as the leading contributor, followed by India, Iran, and Türkiye. At the institutional level, Islamic Azad University and the University of Tehran stand out, while Chen Shyiming emerges as the most influential author. Overall, the findings demonstrate that the field continues to diversify methodologically and is gaining importance in managing complex uncertainty.

Anahtar Kelimeler

Bibliometric analysis, Fuzzy risk, Fuzzy risk analysis, Fuzzy risk management, Fuzzy risk assessment, Bibliometrix.

Kaynakça

Agarwal, S., & Dubey, R. S. (2024). A bibliometric and thematic review of green marketing and green consumer behavior research from 2000 to 2022. Serbian Journal of Management, 19(1), 51-70, doi: 10.5937/sjm19-45515.
Akyuz, E., & Celik, E. (2015). A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers. Journal of Loss Prevention in the Process Industries, 38, 243-253
Arslan, O., & Er, I. D. (2008). SWOT analysis for safer carriage of bulk liquid chemicals in tankers. Journal of Hazardous Materials, 154(1-3), 901-913.
Asif, M., Sarwar, F., Lodhi, R. N., & Akbar, R. (2024). Banking fintech adoption: systematic review with bibliometric and content analysis. Serbian Journal of Management, 19(2), 293-317, doi:10.5937/sjm19-46743.
Baloi, D., & Price, A. D. (2003). Modelling global risk factors affecting construction cost performance. International journal of project management, 21(4), 261-269, doi: 10.1016/S0263-7863(02)00017-0.
Bashar, A., Nyagadza, B., Ligaraba, N., & Maziriri, E. T. (2024). The influence of Covid-19 on consumer behaviour: a bibliometric review analysis and text mining. Arab Gulf Journal of Scientific Research, 42(3), 585-601, doi: 10.1108/AGJSR-12-2022-0281.
Beşikçi, E. B., Kececi, T., Arslan, O., & Turan, O. (2016). An application of fuzzy-AHP to ship operational energy efficiency measures. Ocean engineering, 121, 392-402.
Božanić, D., Pamučar, D., & Bojanić, D. (2015). Modification of the analytic hierarchy process (AHP) method using fuzzy logic: fuzzy AHP approach as a support to the decision-making process concerning engagement of the group for additional hindering. Serbian Journal of Management, 10(2), 151-171, doi: 10.5937/sjm10-7223.
Broadus, R. N. (1987). “Toward a Definition of ‘Bibliometrics’”. Scientometrics 12(5):373-79. doi: 10.1007/BF02016680.
Burduk, A., Lapczynska, D., Kochanska, J., Musial, K., & Husar, J. (2024). Fuzzy logic in risk assessment of production machines failure in forming and assembly processes. Journal of Machine Engineering, 24(2), 34-43. https://doi.org/10.36897/jme/189667

Celik, E., & Akyuz, E. (2018). An interval type-2 fuzzy AHP and TOPSIS methods for decision-making problems in maritime transportation engineering: the case of ship loader. Ocean engineering, 155, 371-381. Chapman, C. B., & Ward, S. (1998). Project risk management: Processes, techniques and insights. (No Title), ISBN: 0470853557.
Cheaitou, A., Larbi, R., & Al Housani, B. (2019). Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations. Socio-Economic Planning Sciences, 68, 100620, doi: 10.1016/j.seps.2018.02.007.
Chen, S. J., & S. M. Chen. (2003). “Fuzzy Risk Analysis Based on Similarity Measures of Generalized Fuzzy Numbers”. IEEE Transactions on Fuzzy Systems, 11(1):45-56. doi: 10.1109/TFUZZ.2002.806316.
Chen, S. J., & Chen, S. M. (2007). Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers. Applied intelligence, 26, 1-11, doi: 10.1007/s10489-006-0003-5.
Chen, S. M., & Chen, J. H. (2009). Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads. Expert systems with applications, 36(3), 6833-6842, doi: 10.1016/j.eswa.2008.08.050.
Chen, S. M., Munif, A., Chen, G. S., Liu, H. C., & Kuo, B. C. (2012). Fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights. Expert Systems with Applications, 39(7), 6320-6334.
Chia, E. S. (2006, September). Risk assessment framework for project management. In 2006 IEEE International Engineering Management Conference (pp. 376-379). IEEE, doi: 10.1109/IEMC.2006.4279889.
Dikmen, I., Birgonul, M. T., & Han, S. (2007). Using fuzzy risk assessment to rate cost overrun risk in international construction projects. International journal of project management, 25(5), 494-505.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296, doi: 10.1016/j.jbusres.2021.04.070.
Edwards, P. J., & P. A. Bowen. (1998). “Risk and Risk Management in Construction: A Review and Future Directions for Research”. Engineering Construction and Architectural Management 5(4):339-49. doi: 10.1046/j.1365-232X.1998.54072.x.
Ghobadi, M., & Birjandi, N. (2025). Environmental risk assessment of petrochemical complexes using a fuzzy systematic analysis approach. Avicenna Journal of Environmental Health Engineering, 12(1), 10-20. https://doi.org/10.34172/ajehe.5544
Güçlü, F. (2024). An Analysis of Islamic Stock Markets Literature: Trends, Emerging Themes and Future Prospects. Journal of Kocatepe Islamic Sciences, 7(3), 1-24. doi: 10.52637/kiid.1507989
Heilpern, C. (2023). “What Is Risk?” Ss. 3-8. Understanding Risk Management and Hedging in Oil Trading. Cham: Springer Nature Switzerland, doi: 10.1007/978-3-031-44465-4_2.
Hertz, D. B., & Thomas H. (1983). Risk analysis and its applications. Chichester ; New York: Wiley.
Jaafari, A. (2001). “Management of Risks, Uncertainties and Opportunities on Projects: Time for a Fundamental Shift”. International Journal of Project Management 19(2):89-101. doi: 10.1016/S0263-7863(99)00047-2.
Johanyák, Z. C., & Pásztor, A. (2024). Fuzzy FMEA-based risk evaluation of student software projects. Acta Polytechnica Hungarica, 21(10), 301-316.
John, A., Paraskevadakis, D., Bury, A., Yang, Z., Riahi, R., & Wang, J. (2014). An integrated fuzzy risk assessment for seaport operations. Safety Science, 68, 180-194, doi: 10.1016/j.ssci.2014.04.001.
Kazemian, M., Hajimirzajan, A., Ghezelhesar, A. D., Raeisi, E. H., & Fischer, S. (2026). Risk assessment and response prioritization for railway tunnels using integrated fuzzy FMEA, CRITIC, and fuzzy MARCOS methods. Acta Polytechnica Hungarica, 23(1), 249-269.
Koohathongsumrit, N., & Chankham, W. (2023). Route selection in multimodal supply chains: A fuzzy risk assessment model-BWM-MARCOS framework. Applied Soft Computing, 137, 110167, doi: 10.1016/j.asoc.2023.110167.
Kumar, M., Singh, S. B., & Manglik, M. (2025). Failure probability analysis of coherent systems using intuitionistic fuzzy fault tree approach. International Journal of Mathematical, Engineering and Management Sciences, 10(2), 583-597. https://doi.org/10.33889/IJMEMS.2025.10.2.030.
Kushwaha, D. K., Panchal, D., & Sachdeva, A. (2020). Risk analysis of cutting system under intuitionistic fuzzy environment. Reports in Mechanical Engineering, 1(1), 162-173.
Lavasani, S. M., Ramzali, N., Sabzalipour, F., & Akyuz, E. (2015). Utilisation of Fuzzy Fault Tree Analysis (FFTA) for quantified risk analysis of leakage in abandoned oil and natural-gas wells. Ocean engineering, 108, 729-737.
Liao, H., Tang, M., Li, Z., & Lev, B. (2019). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators. Omega, 88, 223-236, doi: 10.1016/j.omega.2019.02.001.
Mallick, R. K., Patra, K., & Mondal, S. K. (2023). A new economic order quantity model for deteriorated items under the joint effects of stock dependent demand and inflation. Decision Analytics Journal, 8, 100288.
Mark, W., P. H. Cohen and R. P. Glen. 2004. “Project risk identification and management.” Ss. 1-5 içinde C. INT.01. de Oliveira Martins, A., Benetti, V. G., dos Anjos, F. E. V., da Silva, D. O., & Alves, C. J. R. (2025). Systematic review on the use of CCPM in project management: Empirical applications and trends. Applied Sciences, 15, 8147. https://doi.org/10.3390/app15158147
Mihálcz, I., & Kosztyán, Z. T. (2024). REFS-A risk evaluation framework on supply chain. Mathematics, 12(6), 841. https://doi.org/10.3390/math12060841
Mimović, P., Tadić, D., Borota-Tišma, A., & Neštić, S. (2021). Evaluation and Ranking of Insurance Companies: A TOPSIS-based approach with Interval-Valued Fuzzy-Rough Numbers. Serbian Journal of Management, 16(2), 279-299, doi: 10.5937/sjm16-27672. Mittal, D., & Panchal, D. (2025). Optimizing healthcare pricing strategies: A data-driven approach to enhance margins and customer value. Journal of Decision Analytics and Intelligent Computing, 5(1), 167-184.
Nieto-Morote, A., & F. Ruz-Vila. (2011). “A Fuzzy Approach to Construction Project Risk Assessment”. International Journal of Project Management 29(2):220-31. doi: 10.1016/j.ijproman.2010.02.002.
Nunes, J. M. B., & F. Annansingh. (2002). “The risk factor”. The Institute for the Management of Information Systems Journal 12(6), 10-12.
Panchal, D., Singh, A. K., Chatterjee, P., Zavadskas, E. K., & Keshavarz-Ghorabaee, M. (2019). A new fuzzy methodology-based structured framework for RAM and risk analysis. Applied Soft Computing, 74, 242-254.
Patra, K., & Mondal, S. K. (2015). Fuzzy risk analysis using area and height based similarity measure on generalized trapezoidal fuzzy numbers and its application. Applied Soft Computing, 28, 276-284.
Perry, J. G., & Hayes, R. W. (1985). Risk and its management in construction projects. Proceedings of the Institution of Civil Engineers, 78(3), 499-521.
Pritchard, A. (1969). “Statistical bibliography or bibliometrics?” Journal of Documentation 25(4):348-49. Shao, M., Basit, A., Karri, R., & Shafique, M. (2024). Survey of different large language model architectures: Trends, benchmarks, and challenges. IEEE Access, doi: 10.1109/ACCESS.2024.3482107.
Sharma, R. K., Kumar, D., & Kumar, P. (2005). Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling. International journal of quality & reliability management, 22(9), 986-1004.
Vieira, E. S., & Gomes, J. A. (2009). A comparison of Scopus and Web of Science for a typical university. Scientometrics, 81, 587-600.
Wallin, J. A. (2005). “Bibliometric Methods: Pitfalls and Possibilities”. Basic & Clinical Pharmacology & Toxicology 97(5):261-75. doi: 10.1111/j.1742-7843.2005.pto_139.x.
Wang, X., Zhang, Y., Li, S., & Li, B. (2025). Safety assessment of fuze based on T-S fuzzy fault tree and interval triangular fuzzy multi-state Bayesian network. Machines.
Wei, S. H., & Chen, S. M. (2009). A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers. Expert systems with applications, 36(1), 589-598, doi: 10.1016/j.eswa.2007.09.033.
Yang, Z., & Wang, J. (2015). Use of fuzzy risk assessment in FMEA of offshore engineering systems. Ocean Engineering, 95, 195-204, doi: 10.1016/j.oceaneng.2014.11.037.
Yener, Y., & Can, G. F. (2021). A FMEA based novel intuitionistic fuzzy approach proposal: Intuitionistic fuzzy advance MCDM and mathematical modeling integration. Expert Systems with Applications, 183, 115413, doi: 10.1016/j.eswa.2021.115413.
Zadeh, L. A. (1965). “Fuzzy Sets”. Information and Control 8(3):338-53. doi: 10.1016/S0019-9958(65)90241-X. Zhou, L., Vasconcelos, A., & Nunes, M. (2008). Supporting decision making in risk management through an evidence‐based information systems project risk checklist. Information management & computer security, 16(2), 166-186, doi: 10.1108/09685220810879636.
Zhu, B., Hamamurad, Q. H., & Habibah Abdul Talib, H. (2024). Quality and food safety management review: Biblioshiny. CyTA-Journal of Food, 22(1), 2405005, doi: 10.1080/19476337.2024.2405005.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Finansal Risk Yönetimi, Kar Amacı Gütmeyen Finans ve Risk

Bölüm

Araştırma Makalesi

Yazarlar

Sümeyra Sezer Kaplan ^*
0000-0002-7920-9389
Türkiye

Fatih Güçlü
0000-0002-1007-4594
Türkiye

Yayımlanma Tarihi

30 Haziran 2026

Gönderilme Tarihi

24 Eylül 2025

Kabul Tarihi

14 Mayıs 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 7 Sayı: 1

DOI

https://doi.org/10.71284/jmtpr.2026716

IZ

https://izlik.org/JA88SD46JB

APA

Sezer Kaplan, S., & Güçlü, F. (2026). A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS. Journal of Management Theory and Practices Research, 7(1), 111-133. https://doi.org/10.71284/jmtpr.2026716

AMA

1.Sezer Kaplan S, Güçlü F. A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS. JMTPR. 2026;7(1):111-133. doi:10.71284/jmtpr.2026716

Chicago

Sezer Kaplan, Sümeyra, ve Fatih Güçlü. 2026. “A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS”. Journal of Management Theory and Practices Research 7 (1): 111-33. https://doi.org/10.71284/jmtpr.2026716.

EndNote

Sezer Kaplan S, Güçlü F (01 Haziran 2026) A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS. Journal of Management Theory and Practices Research 7 1 111–133.

IEEE

[1]S. Sezer Kaplan ve F. Güçlü, “A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS”, JMTPR, c. 7, sy 1, ss. 111–133, Haz. 2026, doi: 10.71284/jmtpr.2026716.

ISNAD

Sezer Kaplan, Sümeyra - Güçlü, Fatih. “A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS”. Journal of Management Theory and Practices Research 7/1 (01 Haziran 2026): 111-133. https://doi.org/10.71284/jmtpr.2026716.

JAMA

1.Sezer Kaplan S, Güçlü F. A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS. JMTPR. 2026;7:111–133.

MLA

Sezer Kaplan, Sümeyra, ve Fatih Güçlü. “A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS”. Journal of Management Theory and Practices Research, c. 7, sy 1, Haziran 2026, ss. 111-33, doi:10.71284/jmtpr.2026716.

Vancouver

1.Sümeyra Sezer Kaplan, Fatih Güçlü. A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS. JMTPR. 01 Haziran 2026;7(1):111-33. doi:10.71284/jmtpr.2026716

1989-2024 YILLARI ARASINDA BULANIK RİSK ANALİZİNE YÖNELİK BİBLİYOMETRİK ANALİZ

Öz

Anahtar Kelimeler

A BIBLIOMETRIC ANALYSIS OF FUZZY RISK ANALYSIS

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster