A hierarchical hybrid expert system for steel welding materials selection system

摘要：

This paper outlines the development of a web-based expert system, steel welding materials selection expert system. The expert system inference engine employs all case-based reasoning (CBR), rule-based reasoning (RBR), and k-mean clustering method to generate a hierarchical hybrid recommendation list for cross validation. Moreover, this inference engine was designed to support a hierarchical multiattribute structure. Unlike the traditional flat attribute structure, this hierarchical multiattribute structure allows experts and user to weigh the attributes dynamically and friendly.

关键词： case-based reasoning rule-based reasoning k-mean clustering hierarchical hybrid expert system.

作者: Yeong-Ho Ho Cheng-Hung Chen Chung-Ling Huang

作者单位: Department of Leisure Information Management Taiwan Shoufu University 168, Nanshih Li, Madou, Tainan Department of Business Administration Taiwan Shoufu University 168, Nanshih Li, Madou, Tainan 72153,

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)

会议地点: 武汉

会议语种:英文

页码: 171-174

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）