基于属性约简的多标准案例知识纳新研究

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Research on Multi-criteria Case Knowledge Incorporation Based on Attribute Parsimony

ZHANG Jianhua，ZHANG Shuwei， HE Longfei，LI Liangchen （School of Management， Zhengzhou University， Zhengzhou 45OoO1，China）

Abstract：The expansion of the case knowledge base，led to the gradual decline of knowledge application level.To allviate this problem，a new multi-standard case knowledge acquisition method based on information gain atribute reduction was proposed. Firstly，the information gain algorithm was used to reduce the case atribute set to achieve the improvement of te compression of the computing space and the ffect of absorbing new information. Then，the knowledge set of new cases was obtained and stored in the case base by the timeliness judgment based on improved VSM and environment variables， the scarcity judgment based on FA-KM and KVS，and the consistency judgment based on RF. The numerical results based on multiple UCI databases showed that the new method could significantly improve the application efficiency and effectiveness of the case knowledge base.

Key words： knowledge nascent； knowledge nascent standard ;case knowledge; information gain ； attrib-ute reduction

0 引言

知识管理是组织重塑核心竞争力、实现可持续发展的有效途径。（剩余11607字）