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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 35
DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE FOR CIVIL AND STRUCTURAL ENGINEERING
Edited by: B.H.V. Topping
Paper IV.3

Case-Based Reasoning for Contractor Prequalification - A Feasibility Study

S.T. Ng*, N.J. Smith* and R.M. Skitmore#

*Project Management Group, Department of Civil and Structural Engineering, UMIST, Manchester, UK
#School of Construction Management, Queensland University of Technology, Brisbane, Australia

Full Bibliographic Reference for this paper
S.T. Ng, N.J. Smith, R.M. Skitmore, "Case-Based Reasoning for Contractor Prequalification - A Feasibility Study", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 61-66, 1995. doi:10.4203/ccp.35.4.3
Abstract
This paper examines the potential for the use of case-based reasoning for contractor prequalification. From a study of the current prequalification practices in the United Kingdom, the characteristics of this domain are identified. The domain suitability is determined by referring these characteristics to the principles and requirements of the case-based reasoning approach. The authors then propose a case-based conceptual framework for prequalifying contractors. Development tools having a high potential to satisfy the conceptual framework are identified. These tools are evaluated according to the conceptual framework to establish their ability to model the prequalification domain.

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