In this paper, the authors propose an adaptive algorithm named ADC, which based on the mathematical theory of evidence, to keep the consistency of shared data in a DSM system. 本文应用人工智能中的证据理论,提出了一种维护共享数据一致性的自适应算法&ADC算法。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence. 粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
This paper introduces an inference approach based on the "Dempster-Shafer's mathematical theory of evidence". 本文介绍了Dempster-Shafer关于证据的数学理论以及根据该理论发展的一种新的推理方法。
Bayesian probability theory is a branch of mathematical probability theory that allows one to model uncertainty about the world and outcomes of interest by combining common-sense knowledge and observational evidence. 贝叶斯概率理论是数学概率论的一个分支,它通过将先验知识和观测事件结合起来而允许我们对于现实世界中的不确定性建模并进行感兴趣的推理。