A DECISION ASSISTANT BASED ON EVIDENTIAL REASONING
The evidence theory provides an important reasoning mechanism in artificial intelligence, and it has been applied to complex systems to handle uncertainty reasoning. Using a set of easy-to-use interfaces, we have designed an desktop decision assistant_system based on the evidence theory. Through the easy-to-use interfaces, expert knowledge and opinions or political arguments can-be input to the system easily. An incremental evidence combination algorithm is embedded in a reasoning module in the system. Based on the evidential reasoning module, the system can carry out uncertainty reasoning efficiently. Therefore, the system can be applied to enhance human capability to make decisions in daily life,business, or political arguments. As the easy-to-use interfaces are designed, the decision assistant can make decisions in different situations with only a few keyboard clicks. A couple of examples of applications are also demonstrated in this paper.
Decision Assistant evidential reasoning decision making uncertainty reasoning
QING-XIANG WU DAVID BELL JI-WEN GUAN RH.KHOKHAR XI HUANG SHAO-CHUN ZHONG
School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, 350007 China;Sch School of Computer Science, Queens University, Belfast, BT7 1NN, N.I.UK School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, 350007 China College of Software, Northeast Normal University, Changchun, 130024, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
1991-1995
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）