Fuzzy risk assessment for mechanized underground coal mines in Turkey.
Autor: Iphar, Melih; Cukurluoz, Ali Kivanc
Publication year: 2020
International journal of occupational safety and ergonomics : JOSE
issn:2376-9130 1080-3548
doi: 10.1080/10803548.2018.1426804
Abstract:
The decision matrix method is preferred as a measure of risk evaluation considering the risk value obtained by two risk factors such as the likelihood and severity of a hazard. However, it has some deficiencies since a crisp risk score is assigned for likelihood and severity. In this article, a fuzzy logic-based safety evaluation method to enhance the risk assessment process is introduced to overcome the uncertainties encountered in the classical decision matrix risk assessment method. The proposed method is a more realistic evaluation of the risks which may be available in mechanized coal mines in Turkey. In this way, risky situations and operations in mechanized underground coal mines have been determined by expert knowledge and engineering judgement in linguistic forms. Thus, such an evaluation will be a valuable guide for coal mines in which fully mechanized coal production is expected in the near future.
Language: eng
Rights:
Pmid: 29493428
Tags: Humans; Risk Factors; Algorithms; Risk Assessment; Turkey; Safety Management/*organization & administration/standards; Occupational Health; *Fuzzy Logic; coal mining; Coal Mining/*organization & administration/standards; fuzzy inference system; fuzzy logic approach; Mamdani algorithm; risk matrix
Link: https://pubmed.ncbi.nlm.nih.gov/29493428/
