A fuzzy case based reasoning approach to value engineering |
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| Authors: | M.H. Fazel Zarandi Zahra S. Razaee M. Karbasian |
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| Affiliation: | 1. School of Business and Management, Donghua University, 1882 Yan-an Road, Shanghai 200051, PR China;2. The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta GA30332-0405, USA;3. School of Engineering and Advanced Technology, Massey University, New Zealand;1. Electrical and Computer Engineering, University of Waterloo, Canadan;2. Ericsson Canada Inc., Montreal, Canada;3. Electrical and Computer Engineering, Concordia University, Canada |
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| Abstract: | This paper is intended to assist the experts during the creativity phase of value engineering through utilizing the past experiences and avoid them in a specific domain from repeating the same experience. To this purpose, a general fuzzy case based reasoning (CBR) system is developed. Our system benefits from a fuzzy clustering model for fuzzy data to facilitate case retrieval and reduce the time complexity. The inherent analogical nature of a case-based reasoning (CBR) model and its integration with fuzzy theory would facilitate access to more precise and systematically classified information during a VE workshop. In order to test the performance of the proposed system, it is applied to suburban highway design data extracted from National Cooperative Highway Research Program (NCHRP) Report 282. |
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