||A CBR based dispute resolution process selection system
||Cheung S O, Au-Yeung R F, Wong V W K
||In construction, the use of Artificial Intelligence (A.I.) to assist project management in the areas of planning, quantity measurement and quality control have been reported. A.I. can minimize subjectivity which would otherwise predominate in many management decisions, one of which is the selection of a method to resolve disputes. Disputes in construction are common and resolving them has become a daily routine of project managers. Despite its importance, the use of A.I. in dispute resolution has not been extensive. Employing an appropriate resolution process is critical to resolve construction disputes. This is because that having an appropriate resolution process should pave the path to success. In this type of selection exercise, previous experience is invaluable and thus fits nicely with the function of Case-Based Reasoning technique. Case-Based Reasoning (CBR) can systematically select a dispute resolution process to fit the circumstances of a case. This paper describes the development of a CBR based dispute resolution process selection system identified as CDRe. Forty eight cases were used to develop the system which was tested by another 9 independent cases. Seventy seven percent prediction accuracy for the testing set was achieved suggesting that the CDRe is a reasonable decision support tool for project managers.
|Year of publication:
||artificial intelligence, construction dispute resolution, case-based reasoning
Cheung S O, Au-Yeung R F, Wong V W K (2004).
A CBR based dispute resolution process selection system. International Journal of IT in Architecture, Engineering and Construction (IT-AEC), Volume 2, Issue 2, Rotterdam: Millpress Science Publishers,