通过上述工作我们使类比推理从传统的抽象逻辑推理转向基于知识的推理，为其进一步的实用化研究提供新的理论和方法。
By these, we turn the traditional analogy from abstract logic reasoning to knowledge-based reasoning and support new theories and methods for the practical research of analogy reasoning.
AFQT测验结果是基于对词汇知识、段落理解、数学知识和算术推理的评估。
The overall AFQT score is based on word knowledge, paragraph comprehension, math knowledge and arithmetic reasoning.
本文主要探讨了基于模糊集合理论的不确定知识表示和近似推理方法。
The main issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory.
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