摘要
将人类认知的先验性和云模型的特点结合起来,构建了贝叶斯反馈云模型.对不确定性概念的定量和定性测度在人机之间相互转化进行了分析,对云滴校验进行了详细的设计,给出了贝叶斯反馈云的统计描述.利用该模型可使协同实体对不确定概念的认识更清晰化,并且可提高协同效率.
A Bayesian feedback cloud model is constructed with the combination of human being＇s apriority and feature of cloud model. Based on analysis of transformation between quantitative and qualitative measurement of tmcertain concepts, the paper designs cloud drop tester in detail and presents statistical description of Bayesian feedback cloud. The model contributes to better recognition of tmcertain concept for collaborative entities and to enhancement of collaborative efficiency.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2008年第7期138-143,共6页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(70671016)
关键词
云模型
贝叶斯反馈
人机协同
推荐可信度
cloud model
Bayesian feedback
human-machine collaboration
trust degree of recommendation
