A case based reasoning model for contractor prequalification
The contractor prequalification process is characterised by the lack of an universally acceptable system and the existence of both quantitative and qualitative information. This has resulted in the development of a number of proprietary prequalification systems together with an over-reliance on human judgement for assessment. To improve the reliability and objectiveness of decisions being made, prequalification needs to be carried out on a more rational basis. A technique in artificial intelligence namely Case-Based Reasoning (CBR) appears to have the potential to satisfy the specific characteristics of the prequalification domain. This paper demonstrates, through the development of a prototype system, the practicality and suitability of CBR approach for prequalification.
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|Item Type:||Journal Article|
|Keywords:||Case, based reasoning, contractor prequalification, experiential knowledge|
|Subjects:||Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Quantity Surveying (120203)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 1998 (please consult author)|
|Deposited On:||13 Sep 2007|
|Last Modified:||09 Jun 2010 22:45|
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