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Controlling Accidents and Insurers’ Risks in Construction: A Fuzzy Knowledge-Based Approach
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Authors: Imriyas Kamardeen (University of New South Wales, Sydney) 
Book Description:
There has been a greater concern globally as to how to minimise construction accidents and their consequences on construction workers, contractors, clients, design and project management consultants, and insurance companies. This book introduces new strategies and models that will facilitate readers in the construction and insurance industries in revamping their existing practices towards minimising accidents, improving profitability, and alleviating liabilities. This is a research-based book and chapters in the book are grounded on recent research and best practices. They demonstrate how innovative insurance and construction companies can exploit contemporary research to drive the re-structuring of poor practices that compromise their business sustainability. With diverse audiences in mind, the chapters are written in clear and easy-to-follow styles. The CD enclosed with the book contains the prototype of the KBS that the book discusses. Readers will appreciate this useful appendix of the book that underpins the practical implementation of new theories.

Table of Contents:
Preface

Acknowledgements

Tables

Figures

Abbreviations

1 Introduction
The global trend of OHS in the construction industry
The drive towards re-engineering workers’ compensation insurance for improving safety in construction
Leveraging by IT
Focus of the book
Structure of the book

2 Workers’ Compensation Insurance in Construction
Introduction
Origin of workers’ compensation system
Workers’ compensation system
Workers’ compensation insurance (WCI)
Experience modification rating (EMR) approach for premium rating
Ad-hoc methods for premium rating
Conclusion

3 Critical Factors for Premium Rating of Workers’ Compensation Insurance in Construction
Introduction
Premium rating variables for construction WCI
Research methodology
Data analysis and discussion
Risk control strategies for insurance companies
Conclusion

4 Assessing Hazards and Safety in Building Construction Projects Introduction
Nature of occupational injuries in construction
Estimating accident risks in construction
Hazards in building construction projects
Assessing hazard intensity in building projects
Safety performance measurement method for WCI
Conclusion

5 New Premium rating Model for Workers’ Compensation Insurance in Building Construction
Introduction
Proposed model for WCI premium rating of building construction projects
Advantages of the proposed new model
Conclusion

6 Fuzzy Inference System Development Methodologies
Introduction
Classical set theory
Limitations of classical set theory
Fuzzy sets
Fuzzy membership functions
Basic operations of fuzzy sets
Linguistic variables
Fuzzy logic and approximate reasoning
Fuzzy inference systems
Fuzzy inference systems development cycle
Conclusion

7 Fuzzy Knowledge Based System Modelling for WCI Premium Rating
Introduction
Fuzzy KBS architecture for WCI premium rating
Knowledge acquisition and representation
Inference mechanism in the fuzzy KBS
Making the prototype of the fuzzy KBS
Developing the IPU and the system database
Developing the fuzzy inference subsystem
Developing the GUI
Verification of the fuzzy KBS
Workflow model for the fuzzy KBS
Conclusion

8 Concluding Notes
Introduction
Summary
Research findings
Comparison of research findings with the previous technique
Practical implications for industries
Bottleneck for implementation
Knowledge contributions
Future directions
Conclusion

Appendix 1: Survey Kit

Appendix 2: WCIXpert User Manual

References

Index

   Binding: Hardcover
   Pub. Date: 2009 3rd Quarter
   ISBN: 978-1-60741-368-4
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Controlling Accidents and Insurers’ Risks in Construction: A Fuzzy Knowledge-Based Approach