مدل‌سازی سیستم استنتاج فازی برای ارزیابی ریسک‎های بالقوه در تجهیزات پزشکی

Abdelgawad, M. & Fayek, A. R. (2010). Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP. Journal of Construction Engineering and Management, 136(9), 1028-1036.

An, M., Chen, Y. & Baker, C. J. (2011). A fuzzy reasoning and fuzzy-analytical hierarchy process based approach to the process of railway risk information: A railway risk management system. Information Sciences, 181(18), 3946-3966.

Arnold, F. S. & dan Marie-Claire, K. (2015). Risk Assessment Applications of Fuzzy Logic. Casualty Actuarial Society, Canadian Institute of Actuaries, Society of Actuaries.

Batbayar, K., Takács, M. & Kozlovszky, M. (2016, May). Medical device software risk assessment using FMEA and fuzzy linguistic approach: Case study. In Applied Computational Intelligence and Informatics (SACI), 2016 IEEE 11th International Symposium on (pp. 197-202). IEEE.

Chanamool, N. & Naenna, T. (2016). Fuzzy FMEA application to improve decision-making process in an emergency department. Applied Soft Computing, 43, 441-453.

Efendigil, T., Onut, 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, (32), 2291–2101.

Esfahani, M., Javadi, M., Azizzadeh, M. (2015). Application of "Failure Modes and Effects Analysis" Method for improving of hospital information system. Journal of Health Information Management, 12(3), 338-346. (in Persian)

Florence, G. & Calil, S. J. (2007). Risk classification of medical equipment in alert states. Journal of Clinical Engineering, 32(2), 79-84.

Hadi-Vencheh, A., Hejazi, S. & Eslaminasab, Z. (2013). A fuzzy linear programming model for risk evaluation in failure mode and effects analysis. Neural Computing and Applications, 22(6), 1105-1113.

Helvacioglu, S. & Ozen, E. (2014). Fuzzy based failure modes and effect analysis for yacht system design. Ocean Engineering, 79, 131-141.

Hyman, W. A. (2003). The theory and practice of preventive maintenance. Journal of Clinical Engineering, 28(1), 31-36.

Jamshidi, A., Rahimi, S. A., Ait-Kadi, D. & Ruiz, A. (2015). A comprehensive fuzzy risk-based maintenance framework for prioritization of medical devices. Applied Soft Computing, 32, 322-334.

Jee, T. L., Tay, K. M. & Lim, C. P. (2015). A new two-stage fuzzy inference system-based approach to prioritize failures in failure mode and effect analysis. IEEE Transactions on Reliability, 64(3), 869-877.

Jenab, K., Blecher, R. M. & Moslehpour, S. (2015). SRB Field Joints Failure Analysis Using Fuzzy FMEA. International Journal of Physics, 3(1), 1-20.

Jong, C. H., Tay, K. M. & Lim, C. P. (2013). Application of the fuzzy failure mode and effect analysis methodology to edible bird nest processing. Computers and electronics in agriculture, 96, 90-108.

Kavosi, Z., Kharazmi, E., Sadeghi, A., DarziRamandi, S., Kazemifard, Y. & Mosalanejad, H. (2015). Identify Pharmaceutical processes potential errors using Failure Mode and Effect Analysis. Journal of Health Information Management, 12(3), 217-228. (in Persian)

Kerk, Y. W., Tay, K. M., & Lim, C. P. (2015). An analytical interval fuzzy inference system for risk evaluation and prioritization in failure mode and effect analysis. IEEE Systems journal. Available in: http://www. feng.unimas.my/images/paper/An_Analytical_Interval.pdf.

Khasha, R., Sepehri, M. M., Khatibi, T. & Soroush, A.R. (2013). Fuzzy FMEA Application to Improve Workflow in Operating Rooms. Journal of industrial management, 47(2), 135-147. (in Persian)

Kumru, M. & Kumru, P. Y. (2013). Fuzzy FMEA application to improve purchasing process in a public hospital. Applied Soft Computing, 13(1), 721-733.

Kuo, R.J., Wu, Y.H. & Hsu, T.S. (2012). Integration of fuzzy set theory and TOPSIS into HFMEA to improve outpatient service for elderly patients in Taiwan. Journal of the Chinese Medical Association, 75(7), 341-348.

Lin, Q. L., Wang, D. J., Lin, W. G. & Liu, H. C. (2014). Human reliability assessment for medical devices based on failure mode and effects analysis and fuzzy linguistic theory. Safety science, 62, 248-256.

Liu, H. C., Fan, X. J., Li, P. & Chen, Y. Z. (2014). Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment. Engineering Applications of Artificial Intelligence, 34, 168-177.

Liu, H. C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert systems with applications, 40(2), 828-838.

Liu, H. C., Liu, L., Liu, N. & Mao, L. X. (2012). Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39(17), 12926-12934.

Liu, H. C., You, J. X., Shan, M. M. & Shao, L. N. (2015). Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach. Soft Computing, 19(4), 1085-1098.

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.

Mazlom, M., Hashemizadeh, M., Dadpoor, B. & Ebrahimi, M. (2014). Identification and assessment of common errors in the admission process of patients in the Central Emergency Department of Imam Reza Hospital applying the prospective approach of "Failure Mode Effects Analysis" (FMEA). Evidence Based Care Journal, 3(4), 7-18. (in Persian)

Molavi, M., Esmaelian & Ansari. (2013). Proposing a New Approach for Prioritization of Organizational Agility Strategies Using FTOPSIS and Fuzzy Inference System. Journal of industrial management, 5(1), 123-138. (in Persian)

Ridgway, M. (2009). Optimizing our PM programs, Biomedical Instrumentation & Technology, 43(3), 244-254.

Ross, T. J. (2009). Fuzzy logic with engineering applications. John Wiley & Sons.

Sadeghi Moghadam, M. R., Safari, H. & Ahmadi Nozari, M. (2016). Measuring sustainability of service supply chain by using a multi-stage/multicast fuzzy inference system (Studied Case: Parsian Bank). Journal of industrial management, 7(3), 533-562. (in Persian)

Smith, I. J. (Ed.). (2005). Failure mode and effects analysis in health care: proactive risk reduction. Joint Commission Resources. ISBN-10: 0866889108.

Taghipour, S., Banjevic, D. & Jardine, A. K. (2011). Prioritization of medical equipment for maintenance decisions. Journal of the Operational Research Society, 62(9), 1666-1687.

Tawfik, B., Ouda, B. K. & El Samad, Y. M. A. (2013). A fuzzy logic model for medical equipment risk classification. Journal of Clinical Engineering, 38(4), 185-190.

Tay, K. & Lim, C. (2006). Fuzzy FMEA with a guided rules reduction system for prioritization of failures. International Journal of Quality & Reliability Management, 23(8), 1047-1066.

Tay, K. M. & Lim, C. P. (2010). Enhancing the failure mode and effect analysis methodology with fuzzy inference techniques. Journal of Intelligent & Fuzzy Systems, 21(1), 135-146.

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.

Vinodh, S., Aravindraj, S., Sathya Narayanan, R. & Yogeshwaran, N. (2012). Fuzzy assessment of FMEA for rotary switches: a case study. The TQM Journal, 24(5), 461-475.

Wang, Y. M., Chin, K. S., Poon, G. K. K., & Yang, J. B. (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert systems with applications, 36(2), 1195-1207.

Withanachchi, N., Uchida, Y., Nanayakkara, S., Samaranayake, D., & Okitsu, A. (2007). Resource allocation in public hospitals: Is it effective? The Journal of Health policy, 80(2), 308-313.

Yeh, R. H. & Hsieh, M. H. (2015). Fuzzy assessment of FMEA for a sewage plant. Journal of the Chinese institute of industrial engineers, 24(6), 505-512.

Yucel, G., Cebi, S., Hoege, B. & Ozok, A. F. (2012). A fuzzy risk assessment model for hospital information system implementation. Expert Systems with Applications, 39(1), 1211-1218.