Akademik Veri Yönetim Sistemi
International Conference on Intelligent and Fuzzy Systems, INFUS 2020, İstanbul, Türkiye, 21 - 23 Temmuz 2020, cilt.1197 AISC, ss.1345-1354
Risk assessment is a critical issue in terms of Occupational Health and Safety around the world. The major responsibility of the employers is to protect their employees from the possible hazardous in the working environment. For this, risk assessment in the working environment should be executed as a proactive policy to manage occupational risks. In general, the risk is obtained by using severity, possibility, and frequency parameters in the industry. However, it is impossible to measure risk severity by quantitative tools. Besides, sometimes, possibility and frequency have to be evaluated by using subjective evaluation since there are not any statistical data for these parameters in the working environment. Furthermore, although there are various outcomes of any risk, one of the most possible outcomes are considered during the evaluation. However, the effects of other consequences of any risk should be considered. For this, in this study, a new approach for the risk assessment has been proposed to literature to overcome these difficulties. In the proposed approach, the fuzzy inference system and Multi fuzzy sets have been integrated to consider the difficulties given above. The proposed approach is applied to public transportation.