GDSS环境下一种改进的QSIM定性推理算法

Improvement of the QSIM algorithm under GDSS circumstance

分析了传统QSIM算法的不足,在群体决策条件下,用未确知有理数来改进传统QSIM的描述能力,用群体建模的方法解决不确定关系的建模问题,实现了具有物理逻辑推理性的QSIM算法与具有跳跃性思维特征的专家经验推理的融合,使QSIM算法具有创新决策能力,并部分解决传统QSIM算法的不完备性。

The deficiency of traditional QSIM （qualitative simulation for imprise model） algorithm was analyzed. Using unconfirmed rational number to improve the description capacity of QSIM, and using group modeling method to model the uncertain relationship under the GDSS circumstance, the QSIM with character of physics logical reasoning and experts＇ experience reasoning with character of jumping thinking are combined together, which not only made the QSIM algorithm be capable to make a innovational decision, but also made the incomplete quality of traditional QSIM algorithm be partly solved.