TY - JOUR JF - IOH JO - ioh VL - 11 IS - 5 PY - 2014 Y1 - 2014/12/01 TI - Assessment and risks ranking in a combined cycle power plant using degree of Belief approach in fuzzy logic TT - ارزیابی و رتبه بندی ریسک در یک نیروگاه سیکل ترکیبی با استفاده از رویکرد درجه باورپذیری درمنطق فازی N2 -   Background and aims: Power plants are the most important infrastructure for economic development with technological advances and sophisticated technology , are subject to risks and accidents. Despite of uncertainty and ambiguity , offer the Solution that can by combine information to identify hazards , assess and risk rank ing may effective to control and reduction of occupational accidents . This survey targeted to identify and assess hazards, determine and rank the effective safety risks in a combined cycle power plant.   Methods: To identify hazard , was used documentation review , interviews with experts , brainstorming sessions , knowledge and experience group of experts in occupational health and safety engineering . For risk analysis , used fuzzy classification for severity and frequency by previous studies and expert opinion . Finally the risks were ranked based on using degree of Belief approach in fuzzy logic.   Results: in the present study , among the 11 cases of identified hazards , explosion and fire gas turbines and bust steam pipes under pressure, with the degree of belief 0/56 , ranked in the first place and fell in tanks reservoirs and canals with degree of belief 0/21 had second place.   Conclusion: So far , few risk assessment tools and techniques have been proposed in power plan t. In this study, despite of use subjective and qualitative variables , but for measuring these variables were used the absolute numbers and mathematical methods . Therefore this study is important and can be suitable and accurate approach to address the technical deficiencies in this section. SP - 20 EP - 29 AU - Shirali, Gh.A AU - Askaripoor, T AU - Kazemi, E AU - Zohoorian Azad, E AU - Marzban, M AD - - KW - Power plant KW - Risk assessment KW - Fuzzy logic KW - Ranking KW - Degree of belief UR - http://ioh.iums.ac.ir/article-1-1159-en.html ER -