[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] Ward, S. C., & Chapman, C. (2003). Project risk management: processes, techniques and insights, John Wiley, Chichester, UK.
[7] Hosseinzadeh, M. Gheidar Khaljani, J. (2013). A review of methods for detecting product design risks. Standard management and quality, 3(summer), 18-25.
[8] 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.
[9] 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.
[10] Feinstein, Z. (2020). Continuity and sensitivity analysis of parameterized Nash games. arXiv preprint arXiv:2007.04388.
[11] 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.
[12] 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.
[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.
[14] Fayek, A. R. (2020). Fuzzy Logic and Fuzzy Hybrid Techniques for Construction Engineering and Management. Journal of Construction Engineering and Management, 146(7), 04020064.
[15] Karamoozian, A.Wu, D. (2020). A hybrid risk prioritization approach in construction projects using failure mode and effective analysis. Engineering, Construction and Architectural Management.
[16] 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.
[17] 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.
[18] 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.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] 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.
[34] 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.
[35] 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.
[36] 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.
[37] 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.
[38] Karabašević, D. Stanujkić, D. Urošević, S. (2015). The MCDM Model for Personnel Selection Based on SWARA and ARAS Methods. Management, (77), 1820-0222.
[39] 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.
[40] 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.
[41] 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.
[42] 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.
[43] 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.
[44] 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.
[45] 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.