A case based reasoning model for contractor prequalification
S. Thomas Ng, N.J.T. Smith, Martin Skitmore · QUT ePrints (Queensland University of Technology) · 1998
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.