Paper Info
Title
Possibilistic Regression Analysis Of Influential Factors In The Planning And Implementation Of Occupational Health And Safety Management Systems
Abstract
The code of Occupational Health and Safety (OHS) is an important regulation to improve the on-the-job safety of employees. Several factors affect the planning and implementation of OHS management systems (OHSMS). The evaluation of OHS practice is the most important component when building a safety environment policy for employees and administration. Begin aware of subjective nature of factors affecting OHS and the use of statistical method, it becomes controversial as to a way of handling this type of survey data. This research presents a combination of possibilistic regression analysis with a convex hull approach to analyze the fitting factors that impact good practices of OHS. In addition, selected samples of data could be represented as fuzzy sets. This study offers an alternative platform to evaluate influential factors being used towards a successful implementation of the OHS policy.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584407
2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010)
Keywords
Field
DocType
fuzzy set theory,convex hull,planning,survey data,regression analysis,occupational safety,occupational health,management system,fuzzy set,occupational health and safety,possibility theory
Regression analysis,Computer science,Convex hull,Fuzzy set,Risk analysis (engineering),Artificial intelligence,Management science,Survey data collection,Numerical models,Possibility theory,Occupational safety and health,Management system,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Azizul Azhar Ramli1165.25
Junzo Watada241184.53
W. Pedrycz3139661005.85