基于投票准则的惩罚函数及其多命题推理系统

The penalty-function based on the voting principles andits multi-proposition reasoning systems

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.