推理机制的量化是通过引入概率信息实现的。
The reasoning mechanism is quantified by introducing information of probability.
将学习矢量量化神经网络集成在基于实例推理的故障诊断方法中，减小了实例搜索空间，提高了实例检索效率。
The learning vector quantization neural network has been integrated successfully with the case-based reasoning approach to reduce the case indexing space and to enhance the indexing efficiency.
结果表明，高层在价值判断方面比中层人员要更加准确，而中层人员在常识判断，演绎推理，量化表达和精确性方面的能力优于高层人员。
Test results indicate top management has strength in value judgment, while middle management is more competitive in aspects of common sense, deductive reasoning, quantitative expression and accuracy.
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