摘要
GadiPinkas提出的基于惩罚逻辑函数的非单调推理系统,应用到智能机器人路径规划和采煤机械设备故障诊断问题时,惩罚函数不能很好地反映人类的智能.为此,提出了投票表决准则及其惩罚函数的构造方法.实验结果表明,该惩罚函数在一些实际应用领域中比GadiPinkas给出的惩罚函数更为合理、有效.
The reasoning nonmonotonicity system based on the penalty-function presented by Gadi Pinkes did not commendably reflect the human intelligence when applied to the problem of the intelligent route planning and the coal cutting machine fault diagnosis. So the method of constructing the penalty-function based on the voting principles is presented, and experimental results show that it is more reasonable and effective than Gadi Pinkes' theory.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2004年第6期705-707,共3页
Journal of Harbin Institute of Technology
基金
国家重点基础研究发展规划资助项目(2002cb312205)
哈尔滨工业大学威海分校基金资助项目.
