|Document ID (ISN)||112060|
|ISSN - Serial title
||0925-7535 - Safety Science
|Convention or series no.
||Ramli A.A., Watada J., Pedrycz W.
||Possibilistic regression analysis of influential factors for occupational health and safety management systems
||2011, Vol.49, p.1110-1117. Illus. 41 ref.
||Possibilistic_regression.pdf [in English]
||The code of occupational safety and health (OSH) is an influential regulation to improve the on-the-job safety of employees. A number of factors influence the planning and implementation of OSH management systems (OHSMS). The evaluation of OHSMS practice is the most important component when forming a safety and health environmental policy for employees. The objective of this research was to develop an intelligent data analysis (IDA) in which possibilistic regression is used to support the analysis of essential factors that influence OHSMS. Given such subjective terms, the obtained samples can be conveniently regarded as fuzzy input/output data represented by membership functions. The study offers this vehicle of intelligent data analysis as an alternative to evaluate the influential factors in a successful implementation of OSH policies and in this way decrease an overall computational effort. The obtained results show that several related OHSMS influential factors need to be carefully considered to facilitate a successful implementation of the OHSMS procedure.
||hazard evaluation; plant safety and health organization; description of technique
||statistical evaluation; mathematical models; safety and health documentation; computer applications
||D - Periodical articles
||Safety organization and training
|Broad subject area(s)
||General safety, health and conditions of work
||Safety culture and safety consciousness