TY - JOUR T1 - Bulanık Çok Kriterli Karar Verme Yöntemleriyle Bir Risk Analizi Uygulaması TT - Application of A Risk Analysis with Fuzzy Multi-Criteria Decision Making Methods AU - Hacıbektaşoğlu, Süleyman Enes AU - Mertoğlu, Bülent AU - Tozan, Hakan PY - 2022 DA - September DO - 10.7240/jeps.1125094 JF - International Journal of Advances in Engineering and Pure Sciences JO - JEPS PB - Marmara Üniversitesi WT - DergiPark SN - 2636-8277 SP - 403 EP - 414 VL - 34 IS - 3 LA - tr AB - İş Sağlığı ve Güvenliği (İSG) faaliyetleriyle işyerlerinde çalışanların ruhen ve bedenen tam bir iyilik halinde olması hedeflenmektedir. Bu faaliyetlerin en önemlilerinden birisi işyerlerinde uygulanacak olan risk analizleridir. Risk analizleriyle işyerlerinde mevcut olan tehlikeler ve bu tehlikelerin neden olabileceği potansiyel riskler belirlenerek iş kazalarının yaşanmaması ya da minimize edilmesi için gerekli önlemler alınmaktadır. Literatürde kullanılmakta olan çeşitli risk analiz yöntemleri bulunmaktadır. Ülkemizde en küçük işyerinden en büyük işyerine kadar yaygın bir kullanım düzeyine sahip olan Fine-Kinney yöntemi bu risk analiz yöntemlerinden birisidir. Bu çalışmada geleneksel Fine-Kinney yönteminin bulanık mantık tabanlı çok kriterli karar verme (ÇKKV) yöntemlerine entegrasyonu ile daha kullanışlı ve hassas hibrit bir risk analizi yöntemi geliştirilmesi hedeflenmiştir. Bu amaç için ilgili ÇKKV yöntemleri bulanık mantık tabanlı olarak kullanılmış olup bu sayede karar verici uzmanlar için daha uygun olan sözel terimlerin kullanımıyla daha anlamlı ve kullanışlı bir yöntem geliştirilmiştir. Bu kapsamda öncelikle çalışma için kriter olarak Fine-Kinney yönteminin olasılık, frekans ve şiddet kriterleri tercih edilmiştir. Bu kriterler iş güvenliği uzmanları tarafından f-SWARA ÇKKV yöntemi ile ağırlıklandırılmıştır. Yapılan ağırlıklandırma işlemi sonucunda olasılık, frekans ve şiddet kriterleri için sırasıyla 0,198, 0,276 ve 0,526 değerleri elde edilmiştir. Daha sonra ağırlıklı kriter değerlerinin f-VIKOR yöntemine entegrasyonu ile analizler gerçekleştirilerek tehlikelerin öncelik sıraları belirlenmiştir. Çalışma sonunda geleneksel yöntemle yapılan analiz sonuçlarıyla önerilen hibrit f-SWARA&f-VIKOR yöntemi analizi sonuçları karşılaştırılmıştır. Bu çalışmayla risk analizlerinde kullanılan kriterlerin ağırlıklandırılmasının önemli bir durum olduğu ayrıca risk analizlerinde bulanık mantık tabanlı ÇKKV yöntemlerinin kullanımının insan kaynaklı hataları minimize etmede büyük katkısı olduğu tespit edilmiştir. KW - İş sağlığı ve güvenliği KW - risk analizi KW - bulanık mantık KW - Fine-Kinney KW - f-SWARA KW - f-VIKOR N2 - Occupational Health and Safety (OHS) activities, are aimed that the employees in the workplaces are in a complete mental and physical well-being. One of these activities is the risk analysis to be applied in the workplaces. The hazards existing in the workplaces and the potential risks that may be caused by these hazards are determined through risk analysis, and necessary precautions are taken to prevent or minimize occupational accidents. There are various risk analysis methods used in the literature. Fine-Kinney method, which has a widespread usage from the smallest to the largest workplace in our country, is one of these risk analysis methods. In this study, it is aimed to develop a more useful and sensitive hybrid risk analysis method by integrating the traditional Fine-Kinney method with fuzzy logic-based multi-criteria decision making (MCDM) methods. For this purpose, the relevant MCDM methods were used as fuzzy logic-based, so a more meaningful and useful method was developed by using linguistic terms that are more suitable for decision makers. In this context, probability, exposure and severity criteria of the Fine-Kinney method were preferred as criteria for this study. These criteria were weighted by the occupational safety experts with the f-SWARA MCDM method. As a result of the weighting process, 0.198, 0.276 and 0.526 values were obtained for probability, exposure and severity criteria, respectively. Then, by integrating the weighted criteria values into the f-VIKOR method, analyzes were performed and the priority order of the hazards was determined. At the end of the study, the results of the analysis made with the traditional method and the results of the analysis of the hybrid f-SWARA&f-VIKOR method proposed within the scope of the study were compared. In this study, it has been obtained that the weighting of the criteria used in risk analysis is a significant situation, and the use of fuzzy logic-based MCDM methods in risk analysis has a major contribution in minimizing human-induced errors. CR - [1] Kokangül A, Polat U, ve Dağsuyu C. 2017. A new approximation for risk assessment using the AHP and Fine Kinney methodologies. Safety Science. 91:24–32. doi:10.1016/j,ssci,2016.07.015 CR - [2] Hacıbektaşoğlu SE, 2018. İnşaat sektöründe yaşanan iş kazalarının analizi ve bu kazalara neden olan etkenlerin incelenmesi. Stratejik ve Sosyal Araştırmalar Dergisi. 2(3):159-177. doi: 10,30692/sisad,452112 CR - [3] Yağımlı M ve Hacıbektaşoğlu SE. 2018. Türkiye’de inşaat sektöründe yaşanan iş kazaları ve ölümlü iş kazası sayılarının tahmini. Gümüşhane Üniversitesi Sosyal Bilimler Enstitüsü Elektronik Dergisi. 9(22):142-156. CR - [4] Gul M ve Celik E. 2018. Fuzzy rule-based Fine–Kinney risk assessment approach for rail transportation systems. Human and Ecological Risk Assessment. 24(7):1786-1812. doi:10,1080/10807039,2017,1422975 CR - [5] Hacibektasoglu SE, Mertoglu B ve Tozan H. 2021. Application of a novel hybrid f-SC risk analysis method in the paint industry. Sustainability. 13(24), 13605. https://doi.org/10.3390/su132413605 CR - [6] Ahmed MT, Omotunde H. 2012. Theories and strategies of good decision making. International Journal of Scientific & Technology Research. 1:51–54. CR - [7] Sirakaya E, Woodside AG. 2005. Building and testing theories of decision making by travellers. Tourism management. 26:815–832. CR - [8] Gigerenzer G, Gaissmaier W. 2015. Decision making: Nonrational theories. In: International encyclopedia of the social & behavioral sciences. Elsevier. 911–916. https://doi.org/10.1016/B978-0-08-097086-8.26017-0 CR - [9] Kou G, Peng Y, Wang G. 2014. Evaluation of clustering algorithms for financial risk analysis using MCDM methods. Information Sciences. 275:1–12. https://doi.org/10.1016/j.ins.2014.02.137 CR - [10] Kinney GF ve Wiruth AD. 1976. Practical risk analysis for safety management [Final Report]. CR - [11] Oturakçı M ve Dağsuyu C. 2017. Fuzzy Fine‐Kinney approach in risk assessment and an application. Karaelmas Journal of Occupational Health and Safety. 1(1):17-25. CR - [12] Aker A ve Özçelik TÖ. 2020. Risk assessment with 5x5 Matrix and Fine-Kinney method in metal industry. Karaelmas Journal of Occupational Health and Safety. 4(1):65-75. CR - [13] Keršuliene V, Zavadskas EK ve Turskis Z. 2010. Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management. 11(2): 243-258. CR - [14] Keršuliene V ve Turskis Z. 2011. Integrated fuzzy multiple criteria decision making model for architect selection. Technological and Economic Development of Economy. 17(4): 645–666. CR - [15] Mishra AR, Rani P, Pandey K, Mardani A, Streimikis J, Streimikiene D ve Alrasheedi M. 2020. Novel multi-criteria intuitionistic fuzzy SWARA–COPRAS approach for sustainability evaluation of the bioenergy production process. Sustainability. 12:4155. doi:10,3390/su12104155 CR - [16] Yucenur GN, Caylak S, Gönül G ve Postalcioglu M. 2020. An integrated solution with SWARA&COPRAS methods in renewable energy production: City selection for biogas facility. Renewable Energy. 145:2587-2597. doi:10,1016/j,renene,2019,08,011 CR - [17] Zavadskas EK, Hasan Aghdaie M, Hashemkhani Zolfani S. 2013. Decision making in machine tool selection: An integrated approach with SWARA and COPRAS-G methods. Engineering Economics. 24:5–17. https://doi.org/10.5755/j01.ee.24.1.2822 CR - [18] Hashemkhani Zolfani S, Yazdani M, Zavadskas EK. 2018. An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Computing. 22:7399–7405. https://doi.org/10.1007/s00500-018-3092-2 CR - [19] Kouchaksaraei RH, Zolfani SH, Golabchi M. 2015. Glasshouse locating based on SWARA-COPRAS approach. International Journal of Strategic Property Management. 19:111–122. https://doi.org/10.3846/1648715X.2015.1004565 CR - [20] Alimardani M, Hashemkhani Zolfani S, Aghdaie MH, Tamošaitienė J (2013) A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment. Technological and economic development of economy 19:533–548 CR - [21] Opricovic S, Tzeng G-H. 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 156:445–455. https://doi.org/10.1016/S0377-2217(03)00020-1 CR - [22] Gul M, Ak MF, Guneri AF. 2019. Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry. Journal of Safety Research. 69:135–153 CR - [23] Opricovic S ve Tzeng GH. 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 156(2):445-455. CR - [24] Chen LY ve Wang T. 2009. Optimizing Partners choice in IS/IT outsourcing process: The strategic decision of fuzzy VIKOR. International Journal of Produciton Economics. 120:233-242. CR - [25] Opricovic S. 2011. Fuzzy VIKOR with an application to water resources planning. Expert Syst, Appl. 38(10):12983–12990. CR - [26] Tzeng GH ve Huang JJ. 2011. Multiple Attribute Decision Making: Methods and Applications. Taylor and Francis Group. New York, NY. CR - [27] Kim Y ve Chung ES. 2013. Fuzzy VIKOR approach for assessing the vulnerability of the water supply to climate change and variability in South Korea. Applied Mathematical Modelling. 37, 9419–9430. CR - [28] Wei J ve Lin X. 2008. The Multiple Attribute Decision-Making VIKOR Method and Its Application, In Wireless Communications. WiCOM’08, 4th International Conference. Networking and Mobile Computing. 1-4. CR - [29] Gul M, Guven B ve Guneri AF. 2018. A new Fine-Kinney-based risk assessment framework using FAHP-FVIKOR incorporation. Journal of Loss Prevention in the Process Industries. 53:3-16. doi:10.1016/j.jlp.2017.08.014 UR - https://doi.org/10.7240/jeps.1125094 L1 - https://dergipark.org.tr/tr/download/article-file/2462854 ER -