Akkizidis, I. S., & Bouchereau, V. (2005). GUIDE to optimal operational risk and Basel 2. Taylor & Francis Group.
 Ackermann, F., Howick, S., Quigley, J., Walls, L., & Houghton, T. (2014). Systemic risk elicitation: Using causal maps to engage stakeholders and built a comprehensive view of risks. European Journal of Operational Researc. 238: 290-299.
 Basel Committee on Banking Supervision;. (2003). Sound practices for the management and supervision of operational risk.
 Bayrakdaroğlu, A., & Yalçın, N. (2013). A fuzzy multi-criteria evaluation of the operational risk factors for the state-owned and privately-owned commercial banks in turkey. Human and Ecological Risk Assessment: An International Journal. 19(2): 443-461.
 Bryson, J. M., Ackermann, F., Eden, C., & Finn, C. (2004). Visible Thinking: Unlocking Causal Mapping for Practical Business Results. John Wiley & Sons.
 Chernobai, A., Jorion, P., & Yu, F. (2011). The determinants of operational risk in U.S. financial institutions. Journal خf Financial and Quantitative Analysis. 46(6): 1683–1725.
 Christiansen, U., & Thrane, S. (2014). The prose of action: The micro dynamics of reporting on emerging risks in operational risk management. Scandinavian Journal of Management, 30(4): 427-443.
 Curtis, P., & Carey, M. (2012). Risk Assessment in Practice. COSO.
 Eden, C. (2004). Analyzing cognitive maps to help structure issues or problems. European Journal of Operational Research. 159: 679–686.
 Eden, C. A. (1992). The analysis of cause maps. Journal of Management Studies. 29: 309-324.
 Feyzioglu, O., Buyukozkan, G., & Ersoy, M. S. (n.d.). Supply chain risk analysis with fuzzy cognitive maps. Proceeding of the IEEE International Conference on Industrial Engineering and Engineering Management.
 Harmantzis, F. (2003). Operational Risk Management in Financial Services and the New Basel Accord. Available at SSRN 579321.
 Hemrit, W., Ben Arab, M., & Raissi, N. (2013). The correspondence analysis between the key indicators and events of operational risk: A case study of the insurance sector in Tunisia. International Journal of Risk Assessment and Management. 17(2): 107-147.
 Jarrow, R. A. (2008). Operational risk. Journal of Banking & Financ.32(5): 870-879.
 Kmec, P. (2011). Temporal hierarchy in enterprise risk identification. Management Decision.49: 1489-1509.
 Kontogiann, A., Papageorgiou, E., Salomatina, L., Skourtos, M., & Zanou, B. (2012). Risks for the Black Sea marine environment as perceived by Ukrainian stakeholders: A fuzzy cognitive mapping application. Ocean & Coastal Management. 62: 34-42.
 Koso, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies. 24: 65-75.
 Martínez-Sánchez, J. F., Martínez-Palacios, M. T., & Venegas- Martínez, F. (2016). An analysis on operational risk in international banking: A Bayesian approach (2007–2011). Estudios Gerenciales. 32(140): 208-220.
 Mezei, J., & Sarlin, P. (2016). Aggregating expert knowledge for the measurement of systemic risk. Decision Support Systems. 88: 38-50.
 Momen, O., Kimiagar, A., & Noorbakhsh, E. (2012). Modeling the operational risk in Iranian commercial banks: case study of a private bank. Journal of Industerial Engineering International. (8)1: 1-10.
 Nedkarni, S., & Shenoy, P. P. (2001). A bayesian network approach to making inferences in causal maps. European Journal of Operational research. 128: 479-498.
 Nosrati, H., & Pakize, K. (2015). Estimating the capital of operational risk in the banking industry using LDA approach. Quarterly Journal of Financial Engineering & Securities Management. 20: 1-26. (in persian).
 O'Donnell, E. (2005). Enterprise risk management: A systems-thinking framework for the event identification phase. International Journal of Accounting Information Systems. 6(3): 177-195.
 Özesmi, U., & Özesmi, S. L. (2004). Ecological models based on people’s knowledge: A multi-step fuzzy cognitive mapping approach. Ecological modelling. 176(1): 43-64.
 Papageorgiou, E. I., Stylios, C., & Groumpos, P. P. (2006). Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links. International Journal of Human-Computer Studies. 64(8): 727-743.
 Puyanfar, A., Beyti, S., & Habibi, A. (2015). Estimation of effective limits for modeling and estimating Banks risk capital. Quarterly Journal of Financial Engineering & Securities Management. 18: 105-118. (in persian).
 Scandizzo, S. (2005). Risk mapping and key risk indicators in operational risk management. Economic Notes. 34(2): 231-256.
 Sharbat Oqli, A., & Erfanian, A. (2006). Comparative study and implementation of Basel operational risk measurement models in the Bank of Industry and Mine. Sharif Scientific Journal. 34: 59-68.
 Shenkir, W. G., Barton, T. L., & Walker, P. L. (2010). Enterprise Risk Management: Lessons from The Field. Hoboken: John Wiley & Sons.
 Stylios, C. D., & Groumpos, P. P. (2004). Modeling complex systems using fuzzy cognitive. IEEE Trans. Syst., Man Cybern. Part A. 34 (1): 155–162.
 Zhai, D. S., Chang, J., & Zhang, J. (2009). An Application of Fuzzy Cognitive Map based on Active Hebbian Learning Algorithm in Credit Risk Evaluation of Listed Companies. International Conference on Artificial Intelligence and Computational Intelligence.