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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
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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