Abstract
The growing need for improved construction procurement and managerial systems, point to the usefulness of a knowledge-based advisory system to help optimise such decisions, amidst the multiplicity of project variables. This new system would harness lessons learnt from past and present research and practice. A Hong Kong based study on a sample of different building projects and professionals, has yielded ‘knowledge’ that has been analysed and structured into pilot/sample core modules of a proposed knowledge-based decision support system. Results from statistical analysis of the data and an Artificial Neural Network model confirmed the value of the proposed system. An extended study to gather more data/knowledge is recommended to further develop the proposed system, using the methodology presented in this paper.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
