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), 1028-36.
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), 300-10.
Akhavan Saraf A, R, Nilforooshzadeh M. (2009). Determination of the failure factors of continuous improvement based on the hierarchical analysis process. Journal of Executive Management, 33(1), 13-36. (in Persian)
Arabsheybani, A., Paydar, M. M., & Safaei, A. S. (2018). An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk. Journal of Cleaner Production, 190, 577-591.
Arunraj NS, Maiti J. (2010). Risk-based maintenance policy selection using AHP and goal programming. Safety science, 48(2), 238-47.
- Aslani, R., Feili, H., Javanshir, H.(2014). A hybrid of fuzzy FMEA-AHP to determine factors affecting alternator failure causes. Manage. Sci. Lett. 4 (9), 1981–1984.
Awad M, Awad M, As’ ad RA, As’ ad RA. (2016). Reliability centered maintenance actions prioritization using fuzzy inference systems. Journal of Quality in Maintenance Engineering, 22(4), 433-52.
Batbayar K, Takács M, Kozlovszky M. (2016). Medical device software risk assessment using FMEA and fuzzy linguistic approach: Case study. In Applied Computational Intelligence and Informatics (SACI), IEEE 11th International Symposium on 2016 May 12, 197-202.
Besterfield D, Besterfield M, Besterfield G.H, BesterfieldS M. (2003). Total Quality Management. Pearson Education; Inc., New Jersey, 377–405.
Bowles JB, Peláez CE.(1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering & System Safety, 50(2), 203-13.
Chen, L., Deng, X., 2018. A modified method for evaluating sustainable transport solutions based on ahp and dempster–shafer evidence theory. Appl. Sci. 8 (4), 563.
Chin KS, Chan A, Yang JB. Development of a fuzzy FMEA based product design system. (2008) The International Journal of Advanced Manufacturing Technology, 36(7), 633-49.
Dağsuyu, C., Göçmen, E., Narlı, M., & Kokangül, A. (2016). Classical and fuzzy FMEA risk analysis in a sterilization unit. Computers & Industrial Engineering, 101, 286-294.
Efendigil T, Önüt S, Kahraman C. (2009). A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis. Expert Systems with Applications, 36(3), 6697-707.
Guimarães AC, Lapa CM.(2004) Fuzzy FMEA applied to PWR chemical and volume control system. Progress in Nuclear Energy, 44(3), 191-213.
Guimarães AC, Lapa CM. (2007). Fuzzy inference to risk assessment on nuclear engineering systems. Applied Soft Computing, 7(1), 17-28.
Hernon, P. (2002). Quality: new directions in the research. The journal of academic librarianship, 28(4), 224-231.
Kandampully, J., & Duddy, R. (1999). Competitive advantage through anticipation, innovation and relationships. Management Decision, 37(1), 51-56.
Khasha, R., Sepehri, M., Khatibi, T., Soroush, A. (2013). Fuzzy FMEA Application to Improve Workflow in Operating Rooms. Journal of Industrial Engineering, 47(2), 135-147. doi: 10.22059/jieng.36171.(in Persian)
Kumar, S., DeGroot, R. A., & Choe, D. (2008). Rx for smart hospital purchasing decisions: The impact of package design within US hospital supply chain. International Journal of Physical Distribution & Logistics Management, 38(8), 601-615.
Kumru, M., & Kumru, P. Y. (2013). Fuzzy FMEA application to improve purchasing process in a public hospital. Applied Soft Computing, 13(1), 721-733.
Ilbahar, E., Karaşan, A., Cebi, S., & 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.
Li, Z., & Chen, L. (2019). A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method. Engineering Applications of Artificial Intelligence, 77, 136-147.
Liu, H. C., L. Liu, and N. Liu. 2013. “Risk Evaluation Approaches in Failure Mode and Effects Analysis: A Literature Review.”Expert Systems with Applications 40 (2): 828–838.
Liu, H.-C., You, J.-X., Shan, M.-M., Su, Q. (2017). Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach. Total Qual. Manage. Bus. Excell. 1–28.
Liu HT, Tsai YL. (2012). A fuzzy risk assessment approach for occupational hazards in the construction industry. Safety science, 50(4), 1067-78.
Liu, B., Hu, Y., Deng, Y., 2018b. New failure mode and effects analysis based on D numbers downscaling method. Int. J. Comput. Commun. Control 13 (2), in press.
Liu, H. C., Wang, L. E., Li, Z., & Hu, Y. P. (2019). Improving risk evaluation in FMEA with cloud model and hierarchical TOPSIS method. IEEE Transactions on Fuzzy Systems, 27(1), 84-95.
Maleki , A. R., Zohor , A. R., Ebadifard Azar , F., Rezaie , K. & Ebadian, M. (2010). An integrated approach in healthcare system in accordance with QFD/ FMEA . the journal of Payesh, 9(2), 117-130.(in persian)
Pillay A, Wang J.(2003). Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering & System Safety, 79(1), 69-85.
Rafie M, Namin FS. (2015). Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system. International Journal of Mining Science and Technology, 25(4), 655-63.
Sharma RK, Kumar D, Kumar P. (2005) Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling. International Journal of Quality & Reliability Management, 22(9), 986-1004.
Shafaat, A., Shami Zanjani, M. & Pilevari Salmani, N. (2012). Proposing a Model for the Evaluation of Knowledge Management Empowerment at the Pasargad Bank using the Fuzzy Inference System. Organizational Resources Management Researchs, 1(4), 1-191.(in persian)
Spath PL. (2013). Using failure mode and effects analysis to improve patient safety. AORN journal, 78(1), 15-37.
Su, C. T., H. C. Lin, P. W. Teng, and T. Yang. 2014. “Improving the Reliability of Electronic Paper Display Using FMEA and Taguchi Methods: A Case Study.” Microelectronics Reliability 54 (6-7): 1369–1377.
Tay K, Lim C. (2006). A Guided Rule Reduction System for Prioritization of Failures in Fuzzy FMEA. Applications of Soft Computing, 301-10.
Tsai, S. B., Zhou, J., Gao, Y., Wang, J., Li, G., Zheng, Y., ... & Xu, W. (2017). Combining FMEA with DEMATEL models to solve production process problems. PloS one, 12(8), e0183634.
UÇKUN, N., GİRGİNER, N., & ÇELİK, A. E. (2008). Usage of analytic hierarchy process in medical equipment purchasement decisions: a university hospital case. Elektronik Sosyal Bilimler Dergisi, 26(26).
Wang YM, Chin KS, Poon GK, Yang JB. (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert systems with applications, 36(2), 1195-207.
Withanachchi, N., Uchida, Y., Nanayakkara, S., Samaranayake, D., & Okitsu, A. (2007). Resource allocation in public hospitals: Is it effective?. Health Policy, 80(2), 308-313.
Xu K, Tang LC, Xie M, Ho SL, Zhu ML.(2002) Fuzzy assessment of FMEA for engine systems. Reliability Engineering & System Safety, 75(1), 17-29.
Yeh RH, Hsieh MH. (2007). Fuzzy assessment of FMEA for a sewage plant. Journal of the Chinese institute of industrial engineers, 24(6), 505-12.
Yousefi, S., Alizadeh, A., Hayati, J., & Baghery, M. (2018). HSE risk prioritization using robust DEA-FMEA approach with undesirable outputs: a study of automotive parts industry in Iran. Safety science, 102, 144-158.
Zanjirchi, M. & Sayadi Toranloo, H.(2010). Compliance and Routing Improving the Quality of Academic Library Services. Journal of Iranian Higher Education with FMEA approach, 2(4), 2010, 55-81.(in persian)
Zheng, H., Deng, Y., (2018b). Evaluation method based on fuzzy relations between dempster-shafer belief structure. Int. J. Intell. Syst. 33 (7), 1343–1363.
)
