Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (5): 1018-1022.doi: 10.3969/j.issn.1001-506X.2013.05.20

• 系统工程 • 上一篇    下一篇

不确定性知识表达的新方法——灰概率测度集

韩盛, 李书杰, 陈宗海   

  1. 中国科学技术大学自动化系, 安徽 合肥 230027
  • 出版日期:2013-05-21 发布日期:2010-01-03

New representation method for uncertain knowledge—grey probability measure set

HAN Sheng, LI Shu-jie, CHEN Zong-hai   

  1. Department of Automation, University of Science and Technology of China, Hefei 230027, China
  • Online:2013-05-21 Published:2010-01-03

摘要:

通过模拟人类对不确定性信息的描述和融合,提出了一种新的灰数描述方法,定义了灰概率测度集的概念及其交运算。灰概率测度集对“贫信息”及“外沿明确,内涵不明确”的不确定性问题进行描述;交运算对灰概率测度集描述的不确定信息“内涵”逐渐丰富和准确的过程进行表达。通过自助式移动机器人拓扑定位的实例,检验了灰概率测度集在模拟人类智能对不确定信息的表达和推理中的有效性。

Abstract:

A new description method for grey number by simulating man’s description and fusion to uncertainty information is represented, and the definition of a grey probability measurable set and its intersecting operation is proposed. The grey probability measurable set can describe the uncertainty with the features such as “poorinformation” and “clearboundary, unclearmeaning”, the intersecting operation reflects that as information increases, the “meaning” of the uncertainty that the grey probability measurable set represents becomes more certain and more proper. According to the example of topological localization of an autonomous mobile robot, it can be concluded that this structure can be well used to verify the effectiveness in the simutation of  man’s intelligence to uncertainty expression and reasoning.