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H.M. Yang, C.J. Anumba, "An Approach to a Fuzzy-Based Decision Support System for Construction Project Teams", in B. Kumar, B.H.V. Topping, (Editors), "Artificial Intelligence Applications in Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 53-59, 1999. doi:10.4203/ccp.62.3.1

Abstract

This paper describes a study that exploits the potential of fuzzy systems in construction through the development of a decision support system which is capable of handling fuzziness in the collaborative decision-making process. The proposed system is expected to provide an objective and rational framework within which collaborative decisions can be made by virtual construction project teams. Given the often linguistic nature of the weightings ascribed by individual disciplines to decision criteria, the proposed system will utilise the Analytic Hierarchy Process (AHP) and fuzzy systems theory to rank criteria/sub-criteria. Finally, the system will recommend an optimal decision alternative and explain the rationale for its output.

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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: 62 ARTIFICIAL INTELLIGENCE APPLICATIONS IN CIVIL AND STRUCTURAL ENGINEERING Edited by: B. Kumar and B.H.V. Topping Paper III.1 An Approach to a Fuzzy-Based Decision Support System for Construction Project Teams H.M. Yang and C.J. Anumba Department of Civil and Building Engineering, Loughborough University, England doi:10.4203/ccp.62.3.1 purchase the full-text of this paper Full Bibliographic Reference for this paper H.M. Yang, C.J. Anumba, "An Approach to a Fuzzy-Based Decision Support System for Construction Project Teams", in B. Kumar, B.H.V. Topping, (Editors), "Artificial Intelligence Applications in Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 53-59, 1999. doi:10.4203/ccp.62.3.1 Abstract This paper describes a study that exploits the potential of fuzzy systems in construction through the development of a decision support system which is capable of handling fuzziness in the collaborative decision-making process. The proposed system is expected to provide an objective and rational framework within which collaborative decisions can be made by virtual construction project teams. Given the often linguistic nature of the weightings ascribed by individual disciplines to decision criteria, the proposed system will utilise the Analytic Hierarchy Process (AHP) and fuzzy systems theory to rank criteria/sub-criteria. Finally, the system will recommend an optimal decision alternative and explain the rationale for its output. 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 £50 +P&P)
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