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CISDOC database

Document ID (ISN)112060
CIS number 11-0635
ISSN - Serial title 0925-7535 - Safety Science
Year 2011
Convention or series no.
Author(s) Ramli A.A., Watada J., Pedrycz W.
Title Possibilistic regression analysis of influential factors for occupational health and safety management systems
Bibliographic information 2011, Vol.49, p.1110-1117. Illus. 41 ref.
Internet access Possibilistic_regression.pdf [in English]
Abstract 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.
Descriptors (primary) hazard evaluation; plant safety and health organization; description of technique
Descriptors (secondary) statistical evaluation; mathematical models; safety and health documentation; computer applications
Document type D - Periodical articles
Subject(s) Safety organization and training
Broad subject area(s) General safety, health and conditions of work
Browse category(ies) Safety culture and safety consciousness
Risk evaluation