A fuzzy case based reasoning approach to value engineering

Authors:
M. H. Fazel Zarandi;Zahra S. Razaee;M. Karbasian
Affiliations:
Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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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.