RT - Journal Article T1 - Assessment and risks ranking in a combined cycle power plant using degree of Belief approach in fuzzy logic JF - IOH YR - 2014 JO - IOH VO - 11 IS - 5 UR - http://ioh.iums.ac.ir/article-1-1159-en.html SP - 20 EP - 29 K1 - Power plant K1 - Risk assessment K1 - Fuzzy logic K1 - Ranking K1 - Degree of belief AB -   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. LA eng UL http://ioh.iums.ac.ir/article-1-1159-en.html M3 ER -