Prediction of construction litigation outcome - A case-based reasoning approach

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationAdvances in Applied Artificial Intelligence - 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Proceedings
PublisherSpringer Verlag
Pages548-553
Number of pages6
ISBN (Print)3540354530, 9783540354536
DOIs
Publication statusPublished - 1 Jan 2006
Event19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006 - Annecy, France
Duration: 27 Jun 200630 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4031 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006
CountryFrance
CityAnnecy
Period27/06/0630/06/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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