摘要
相似事例检索算法是计算机辅助复合材料成型工艺设计中的关键技术。研究了事例推理机制,给出了基于粗糙集理论的事例推理流程,对相似事例算法进行改进,采用粗糙集理论中属性重要性对事例索引属性进行约简,约简掉对检索结果影响较小的属性,并采用粗糙集属性重要性理论确定索引属性的权值。研究了索引属性中数值类型和集合类型的相似性计算算法,最后通过实例对算法进行验证,结果表明该算法提高了事例检索的速度和正确性。
Case retrieving method is the key technology for computer aided composite material process planning. The case reasoning mechanism is studied and the method flow is given. The case retrieving algorithm is improved by using feature importance of rough set to reduce the case index features which is less important to the retrieving results, the weights of case index are calculated on base of reduction theory of rough set. The similarity calculating method about val- ue index features and set index features is proposed. Finally, a case study shows that the ease retrieving speeds and pre- ciseness are improved by using the method.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2012年第6期27-31,共5页
Journal of Wuhan University of Technology
基金
校博士启动基金(0141312)
关键词
复合材料
成型工艺
事例推理
粗糙集
相似性
composite material
process planning
ease based reasoning
rough set
similarity
