Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1281
Title: Prediction of construction litigation outcome - A case-based reasoning approach
Authors: Chau, KW 
Keywords: Case-based reasoning
Construction litigation outcome
Artificial intelligence technologies
Information theory
Decision theory
Decision making
Cost effectiveness
Issue Date: 2006
Publisher: Springer Berlin / Heidelberg
Source: Lecture notes in artificial intelligence, 2006, v. 4031, p. 548-553 How to cite?
Abstract: Since construction claims are normally affected by a large number of complex and interrelated factors, it will be advantageous to the parties to a dispute to know with some certainty how the case would be resolved if it were taken to court. The application of recent artificial intelligence technologies can be cost-effective in this problem domain. In this paper, a case-based reasoning (CBR) approach is adopted to predict the outcome of construction claims, on the basis of characteristics of cases and the corresponding past court decisions. The approach is demonstrated to be feasible and effective by predicting the outcome of construction claims in Hong Kong in the last 10 years. The results show that the CBR system is able to give a successful prediction rate higher than 80%. With this, the parties would be more prudent in pursuing litigation and hence the number of disputes could be reduced significantly.
Description: Series: Lecture notes in computer science
URI: http://hdl.handle.net/10397/1281
ISBN: 978-3-540-35453-6
DOI: 10.1007/11779568_59
Rights: © Springer-Verlag Berlin Heidelberg 2006. The original publication is available at http://www.springerlink.com.
Appears in Collections:Book/Book Chapter

Files in This Item:
File Description SizeFormat 
LNAI15.pdfPre-published version62.21 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
Citations as of Feb 7, 2016

WEB OF SCIENCETM
Citations

2
Citations as of Feb 6, 2016

Page view(s)

398
Checked on Feb 7, 2016

Google ScholarTM
Citations

loading...

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.