Case-based Reasoning for Contractor Pre-qualification

Ng, S. Thomas, Smith, Nigel J., & Skitmore, Martin (1995) Case-based Reasoning for Contractor Pre-qualification. In Topping, B.H.V. (Ed.) 4th International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, "Development in artificial intelligence for civil and structural engineering", 28-30 August, England.


The contractor prequalification process is characterised by the lack of an universally accepted system and appropriate quantitative and qualitative information. This has led to the development of a number of proprietary prequalification systems together with an over-reliance on human judgement for assessment in practice. To improve the reliability and objectiveness of decisions being made, prequalification needs to be carried out on a more rational basis. An emerging technology in artificial intelligence, namely case based reasoning (CBR), appears to have high potential to satisfy the specific characteristics of the prequalification domain. The aim of this paper is to demonstrate, through the development of a prototype system, the practicality and suitability of CBR approach for prequalification.

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5 citations in Web of Science®
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ID Code: 4428
Item Type: Conference Paper
Refereed: Yes
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)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 1995 (please consult author)
Deposited On: 20 Jul 2006 00:00
Last Modified: 20 May 2013 05:29

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