The Fuzzy Reasoning Method and Its Application Based on Information Distribution

摘要：

Fuzzy reasoning is important for the research of artificial intelligence. Information distribution technology is efficacious and concise method when information is not enough. To assemble limited partial cognition into knowledge on the whole Universe, we should classify fuzzily the Universe and create causality fuzzy relationship using information distribution matrix to reason approximately. The experiment saw that the identifying result this way be better than the method which use membership function using some mathematics model. This method can be applied to artificial intelligence and Expert System.

关键词： information distribution fuzzy reasoning knowledge sample fuzzy relationship

作者: K.J.Liao Y.J.Xi

作者单位: School of Business Administration, South China University of Technology, Guangzhou, China

会议类型: 国际会议

会议名称: The 9th International Symposium on Knowledge and Systems Sciences,The 4th Asia-Pacific International Conference on Knowledge Management(第九届国际知识与系统科学学术年会暨第四届亚太国际知识管理年会)

会议地点: 广州

会议语种:英文

页码: 330-334

在线出版日期: 2008-12-11（万方平台首次上网日期，不代表论文的发表时间）