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V. Carr, J.H.M. Tah, "Developing a Construction Project Risk Knowledge Management Software Environment", in B. Kumar, B.H.V. Topping, (Editors), "Novel Design and Information Technology Applications for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 153-162, 1999. doi:10.4203/ccp.61.6.7

Abstract

The construction industry is plagued by risk, and poor performance has often been the result. Although risk management techniques have been applied the lack of a formalised approach has produced inconsistent results. In this paper a hierarchical risk breakdown structure is described to represent a formal model for qualitative risk assessment. The relationships between risk factors, risks, and their consequences are represented on case and effect diagrams. Risk descriptions and their consequences can be defined using descriptive linguistic variables. Using fuzzy approximation and composition, the relationships between risk sources and the consequences on project performance measures can be identified and quantified consistently.

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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: 61 NOVEL DESIGN AND INFORMATION TECHNOLOGY APPLICATIONS FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B. Kumar and B.H.V. Topping Paper VI.7 Developing a Construction Project Risk Knowledge Management Software Environment V. Carr and J.H.M. Tah School of Construction, South Bank University, London, England doi:10.4203/ccp.61.6.7 purchase the full-text of this paper Full Bibliographic Reference for this paper V. Carr, J.H.M. Tah, "Developing a Construction Project Risk Knowledge Management Software Environment", in B. Kumar, B.H.V. Topping, (Editors), "Novel Design and Information Technology Applications for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 153-162, 1999. doi:10.4203/ccp.61.6.7 Abstract The construction industry is plagued by risk, and poor performance has often been the result. Although risk management techniques have been applied the lack of a formalised approach has produced inconsistent results. In this paper a hierarchical risk breakdown structure is described to represent a formal model for qualitative risk assessment. The relationships between risk factors, risks, and their consequences are represented on case and effect diagrams. Risk descriptions and their consequences can be defined using descriptive linguistic variables. Using fuzzy approximation and composition, the relationships between risk sources and the consequences on project performance measures can be identified and quantified consistently. 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 £66 +P&P)
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