Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
385843 | Expert Systems with Applications | 2011 | 6 Pages |
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.
Research highlights► A fuzzy case based reasoning system for value engineering is developed. ► Our system benefits from a fuzzy clustering model for fuzzy data. ► The performance of our system is tested with suburban highway design data.