ILO Home
Volver a la página de entrada
Site map | Contact us English | Français

Base de datos CISDOC

ID (ISN) del documento112060
Número CIS 11-0635
ISSN - Título de la serie 0925-7535 - Safety Science
Año 2011
Número de serie
Autor(es) Ramli A.A., Watada J., Pedrycz W.
Título Possibilistic regression analysis of influential factors for occupational health and safety management systems
Información bibliográfica 2011, Vol.49, p.1110-1117. Illus. 41 ref.
Acceso Internet Possibilistic_regression.pdf [en inglés]
Resumen 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.
Descriptores (primarios) valoración del riesgo; organización de la prevención en la empresa; descripción del procedimiento
Descriptores (secundarios) valoración estadística; modelos matemáticos; documentación de seguridad y salud; aplicaciones de ordenador
Tipo de documento D - Artículos periódicos
Tema(s) Organización de la seguridad, formación, educación
Broad subject area(s) Aspectos generales
Navegación por categoria(s) Safety culture and safety consciousness
Risk evaluation