A fuzzy case based reasoning approach to value engineering

作者：Zarandi M H Fazel^*; Razaee Zahra S; Karbasian M

来源：Expert Systems with Applications, 2011, 38(8): 9334-9339.

DOI：10.1016/j.eswa.2011.01.124

• Value engineering
• Fuzzy case-based reasoning
• Fuzzy clustering
• Fuzzy data

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.

• 出版日期2011-8