Zarei, K. Mohebban, B. Esmaeilzadeh, A. Jamalian, A. (2019). Classify the Iranian’s Construction Projects Key Risks by Structural Equation Modeling. Journal of Industrial Management, 13 (46), 1-14.
 Behroozi Gorabi, A. Mohammadi, Z. Javanmardi, E. (2017). Risk Identification and Evaluation of Shiraz Municipality Construction Projects Based on Risk Matrix. 3rd International Conference on Industrial Management and Engineering. Tehran.
 Zegordi, S. H. Nazari, A. Rezaee Nik, E. (2014). Project risk assessment by a hybrid approach using fuzzy-anp and fuzzy-topsis. Sharif Journal of Indusrial Engineering and Management, 29(1), 3-14.
 Rahimi, Y. Tavakkoli-Moghaddam, R. Iranmanesh, S. H. Vaez-Alaei, M. (2018). Hybrid approach to construction project risk management with simultaneous FMEA/ISO 31000/evolutionary algorithms: Empirical optimization study. Journal of Construction Engineering and Management, 144 (6), 04018043.
 Wehba, F. A. Hamzeh, F. R. (2013). Failure mode and effect analysis as a tool for risk management in construction planning, 21st Annual Conference of the International Group for Lean Construction, pp. 685-694.
 Ward, S. C., & Chapman, C. (2003). Project risk management: processes, techniques and insights, John Wiley, Chichester, UK.
 Hosseinzadeh, M. Gheidar Khaljani, J. (2013). A review of methods for detecting product design risks. Standard management and quality, 3(summer), 18-25.
 Somi, S. Seresht, N. G. & Fayek, A. R. (2020, November). Developing a risk breakdown matrix for the construction of on-shore wind farm projects. In Construction Research Congress 2020: Infrastructure Systems and Sustainability (pp. 43-51). Reston, VA: American Society of Civil Engineers.
 Qazi, A. Shamayleh, A. El-Sayegh, S., & Formaneck, S. (2020). Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach. Sustainable Cities and Society, 102576.
 Feinstein, Z. (2020). Continuity and sensitivity analysis of parameterized Nash games. arXiv preprint arXiv:2007.04388.
 Hsu, P. Y. Aurisicchio, M. Angeloudis, P. & Whyte, J. (2020). Understanding and visualizing schedule deviations in construction projects using fault tree analysis. Engineering, Construction and Architectural Management.
 Abad, F. Naeni, L. M. (2020). A hybrid framework to assess the risk of change in construction projects using fuzzy fault tree and fuzzy event tree analysis. International Journal of Construction Management, 1-13.
 Chen, H. Li, H. Wang, Y. & Cheng, B. (2020). A comprehensive assessment approach for water-soil environmental risk during railway construction in ecological fragile region based on AHP and MEA. Sustainability, 12(19), 7910.
 Fayek, A. R. (2020). Fuzzy Logic and Fuzzy Hybrid Techniques for Construction Engineering and Management. Journal of Construction Engineering and Management, 146(7), 04020064.
 Karamoozian, A.Wu, D. (2020). A hybrid risk prioritization approach in construction projects using failure mode and effective analysis. Engineering, Construction and Architectural Management.
 Soltanali, H. Rohani, A. Abbaspour-Fard, M. H. Parida, A., Farinha, J. T. (2020). Development of a risk-based maintenance decision making approach for automotive production line. International Journal of System Assurance Engineering and Management, 11(1), 236-251.
 Liu, H. C. (2019). FMEA Using Combination Weighting and Fuzzy VIKOR and Its Application to General Anesthesia. In Improved FMEA Methods for Proactive Healthcare Risk Analysis (pp. 151-172). Springer, Singapore.
 Wu, H. Liu, S. Wang, J. & Yang, T. (2020). Construction Safety Risk Assessment of Bridges in the Marine Environment Based on CRITIC and TOPSIS Models. Journal of Coastal Research, 108(SI), 206-210.
 Ahmadi, M. Behzadian, K. Ardeshir, A. Kapelan, Z. (2017). Comprehensive risk management using fuzzy FMEA and MCDA techniques in highway construction projects. Journal of Civil Engineering and Management, 23(2).300-310.
 Ghoushchi, SJ. Yousefi, S. Khazaeili, M. (2019). An extended FMEA approach based on the Z-MOORA and fuzzy BWM for prioritization of failures. Applied Soft Computing, 81:105505.
 Omidvar, M. Nirumand, F. (2017). Risk assessment using FMEA method and on the basis of MCDM, fuzzy logic and grey theory: A case study of overhead cranes. Journal of Health and Safety at Work, 7(1), 63-76.
 Liu, H. C., Chen, X. Q., Duan, C. Y., & Wang, Y. M. (2019). Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review. Computers & Industrial Engineering, 135, 881-897.
 Fattahi, R. Khalilzadeh, M. (2018). Risk evaluation using a novel hybrid method based on FMEA. extended MULTIMOORA, and AHP methods under fuzzy environment. Safety Science, 102, 290-300.
 Tavakolan, M. Mohammadi, A. (2018). Risk management workshop application: a case study of Ahwaz Urban Railway project. International Journal of Construction Management, 18(3):260-274.
 Ilbahar, E. Karaşan, A. Cebi, Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety science, 103:124-136.
 Tian, Z-p. Wang, J-q. Zhang, H-y. (2018). An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods. Applied Soft Computing, 72:636-646.
 Safari, H. Faraji, Z. Majidian, S. (2016). Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR. Journal of Intelligent Manufacturing, 27(2):475-486.
 Vahdani, B. Salimi, M. Charkhchian, M. (2015). A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process. The International Journal of Advanced Manufacturing Technology, 77(1-4):357-368.
 Boral, S. Howard, I. Chaturvedi, SK. McKee, K. Naikan, V. (2020). An integrated approach for fuzzy failure modes and effects analysis using fuzzy AHP and fuzzy MAIRCA. Engineering Failure Analysis, 108:104195.
 Mardani, A. Nilashi, M. Zakuan, N. Loganathan, N. Soheilirad, S. Saman, MZ. Ibrahim, O. (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments. Applied Soft Computing, 57:265-292.
 Abdelgawad, M. Fayek, AR. (2010). Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP. Journal of Construction Engineering and Management, 136(9):1028-1036.
 Liu, H. C. You, J. X. You, X. Y. Shan, M. M. (2015). A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Applied soft computing, 28, 579-588.
 Wang, L. E. Liu, H. C. Quan, M. Y. (2016). Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments. Computers & Industrial Engineering, 102, 175-185.
 Baloch, A. U. Mohammadian, H. (2016). Fuzzy failure modes and effects analysis by using fuzzy Vikor and Data Envelopment Analysis-based fuzzy AHP. International Journal of Advanced and Applied Sciences, 3(8), 23-30.
 Nazeri, A. Naderikia, R. (2017). A new fuzzy approach to identify the critical risk factors in maintenance management. The International Journal of Advanced Manufacturing Technology, 92(9-12), 3749-3783.
 Vesković, S. Stević, Ž. Stojić, G. Vasiljević, M. Milinković, S. (2018). Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decision Making: Applications in Management and Engineering, 1(2), 34-50.
 Mavi, R. K. Goh, M. Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 91(5-8), 2401-2418.
 Karabašević, D. Stanujkić, D. Urošević, S. (2015). The MCDM Model for Personnel Selection Based on SWARA and ARAS Methods. Management, (77), 1820-0222.
 Ehsanifar, M. Hemesy, M. (2019). A new hybrid multi-criteria decision-making model to prioritize risks in the construction process under fuzzy environment (case study: the Valiasr Street underpass project). International Journal of Construction Management, 1-16.
 Patil, S. K. Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert Systems with Applications, 41(2), 679-693.
 Rani, P. Mishra, AR. Pardasani, KR. (2020). A novel WASPAS approach for multi-criteria physician selection problem with intuitionistic fuzzy type-2 sets. Soft Computing, 24(3):2355-2367.
 Badalpur, M. Nurbakhsh, E. (2019). An application of WASPAS method in risk qualitative analysis: a case study of a road construction project in Iran. International Journal of Construction Management, 1-9.
 Mohaghar, A. Hosseini Dehshiri, S.J. Arab, A. (2017). Investigating and evaluating project risks based on the best-worst approach. Organizational Resource Management Research, 7 (2), 157-173.
 Farughi, H. Alaniazar, S. Mousavipour, S. Moradi, V. (2017). A practical framework based on Fuzzy FMEA to diagnose causes of delay in construction projects. Industrial Management Studies, 15(45), 145-175.
 Kutlu, A. C. Ekmekçioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(1), 61-67.