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F. Marir, I. Watson, "CBRefurb: A Case-Based Building Refurbishment Cost Estimator and Decision Support System", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 231-236, 1995. doi:10.4203/ccp.35.12.2

Abstract

This paper highlights the strategic importance of the cost estimation of building refurbishment work and the need for IT tools to support managers in their decisions to go for refurbishment or redevelopment. An investigation amongst the North West councils has confirmed this need and has shown that the domain is too complex to design an expert system using model-based reasoning (MBR). As a result, an expert system (CBRefurb) which estimates the cost of refurbishing buildings and provides decision support for construction managers is designed. This system is being implemented using a relatively new paradigm called Case-Based Reasoning (CBR). CBR is chosen for several reasons. The complexity and the uncertainty that characterise building refurbishment makes it difficult to estimate the costs using model-based reasoning. In addition, since refurbishment estimators use previous similar work to produce estimates it is an ideal problem for CBR.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 35 DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping Paper XII.2 CBRefurb: A Case-Based Building Refurbishment Cost Estimator and Decision Support System F. Marir and I. Watson Department of Surveying, University of Salford, Salford, UK doi:10.4203/ccp.35.12.2 purchase the full-text of this paper Full Bibliographic Reference for this paper F. Marir, I. Watson, "CBRefurb: A Case-Based Building Refurbishment Cost Estimator and Decision Support System", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 231-236, 1995. doi:10.4203/ccp.35.12.2 Abstract This paper highlights the strategic importance of the cost estimation of building refurbishment work and the need for IT tools to support managers in their decisions to go for refurbishment or redevelopment. An investigation amongst the North West councils has confirmed this need and has shown that the domain is too complex to design an expert system using model-based reasoning (MBR). As a result, an expert system (CBRefurb) which estimates the cost of refurbishing buildings and provides decision support for construction managers is designed. This system is being implemented using a relatively new paradigm called Case-Based Reasoning (CBR). CBR is chosen for several reasons. The complexity and the uncertainty that characterise building refurbishment makes it difficult to estimate the costs using model-based reasoning. In addition, since refurbishment estimators use previous similar work to produce estimates it is an ideal problem for CBR. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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