Univrsity of Tehran Press Industrial Management Journal 3115-7386 8 4 2017 02 19 Fuzzy Inference System modeling to assess the potential risks in the medical equipment مدل‌سازی سیستم استنتاج فازی برای ارزیابی ریسک‎های بالقوه در تجهیزات پزشکی 533 554 62695 10.22059/imj.2017.62695 EN Mohammad Valipour Khatir Assistant Prof. of Industrial Management, Faculty of Economic and Administrative Sciences, University of Mazandaran, Mazandaran, Iran Narjes Ghasemnia Arabi MSc. in Industrial Management, Faculty of Economic and Administrative Sciences, University of Mazandaran, Mazandaran, Iran Journal Article 2016 06 25 Nowadays failure risk assessment of medical equipment considering the crucial role of proper functioning of these equipment, make it unavoidable necessity. In this study, the risk of equipment failure in the operating room of a hospital in one of the hospital in Tehran is analyzed. In this regard, after designing the multi-stage fuzzy inference system, the risks of nine major failures of equipment were evaluated by the system. The notable issue in this article, evaluation sub-attribute and the main factors related to failure risks that until now have been neglected in design of inference systems. The results indicate that the failures "Error in control and regulate the co2 pressure" and "Nickel-Cadmium batteries failure " have respectively the highest and lowest risk among others and this result is compatible with the experienced experts’s opinion in this study; Therefore, designing a user friendly software program based on a proposed model can help hospitals to evaluate the risk of equipment failure in certain periods without need to presence inspections of certified experts. https://imj.ut.ac.ir/article_62695_f04c1b16e02022faa79eb4ba74437379.pdf