Modal Reasoning for Uncertain Information in Expert System

摘要：

Uncertainty informahon is in many information processing systems, such as data integration system, and expert systems, and so on. There is a contradiction, reasoning detailed information on system requirements can be the most accurate results, while the eipert system input is uncertain. So how to reason using uncertain information, and get good results, is our main concern, but also the field of expert systems, one of the core issues. Reasoning with uncertain information is a problem of key importance when dealing with real knowledge. We propose rough logic as a foundation for approximate reasoning about rule-based complex objects. The theory of rough sets is not information intensive and is thus a good basis for reasoning in domains where knowledge is sparse. We are concerned witb formal models of reasoning under uncertainty, then we present a logic based on rough set theory that is suitable for reasoning under uncertainty, a rough inference rule, and demonstrate its effechveness in rule-based reasoning.

关键词： modal logic rough set uncertainty kowledge based system

作者: Jiajia Miao Aiping Li Guoyou Chen Jia Yan Zhijian Yuan

作者单位: Institute of Command Automation, PLA University of Science and Technology, Nanjing, China The post-d 613＃, School of Computer, National University of Defense Technology, Changsha, China Institute of Command Automation, PLA University of Science and Technology, Nanjing, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 492-496

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）