Article ID Journal Published Year Pages File Type
385843 Expert Systems with Applications 2011 6 Pages PDF
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.

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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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