摘要
不确定条件下信息系统的知识获取是智能信息处理研究的一个热点问题。对前一阶段研究工作进行了总结,重点介绍了Rough Vague集与Vague Rough集模型,并分别讨论了这2种模型的代数性质。这些理论与方法对经典Rough集进行了扩展,为不确定条件下Vague信息系统的知识获取提供了新思路。
The uncertain knowledge aquitition in information systems has been a hot spot in the research of intelligient information processing. Previous research work on approaches of unifying rough set and vague set were summarized. The models of rough vague set and vague rough set were discussed, and the algebra properties of these two models were analyzed respectively. These studies have extended the corresponding methods in classical rough set theory, and provide a new thought for uncertain knowledge acquisition in vague information systems.
出处
《重庆邮电大学学报（自然科学版）》
北大核心
2009年第4期449-454,共6页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
国家自然科学基金(60773113
60873108)
重庆市自然科学基金重点项目(2008BA2017)
重庆市杰出青年科学基金(2008BA2041)
四川师范大学科研基金(06lk012)
