Evaluation of effect of different membership functions on risk assessment.

This study aims to define the relationship between risk degrees and risk indexes on different functional structures with the assumption that, risk degrees may not always present linear relationship with the risk indexes. In this wise, risk indexes; suitable for expert evaluation of working conditions and computed by using three different membership functions are determined. Among the membership functions used, one of them is preferred as linear and the others are preferred as nonlinear. Additionally, a new fuzzy risk assessment (RA) algorithm is developed by using these three membership functions. With this new fuzzy RA algorithm, a more flexible and precise process becomes available, while information loss during the determination of the risk index of danger sources is prevented. As a result, nonlinear increasing membership function is selected as the most suitable one for the expression of relationship between risk degrees and risk indexes. PMID: 28330411 [PubMed - as supplied by publisher]
Source: International Journal of Occupational Safety and Ergonomics - Category: Occupational Health Tags: Int J Occup Saf Ergon Source Type: research