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.
运用粗集理论对逻辑函数进行知识表达的方法，提出了基于粗糙集的组合逻辑优化方法，并给出了相应的算法。
Rough set-based method of combinatory logic optimization was presented by using knowledge expression of logic function with rough set theory, and its corresponding algorithm was given, also.
作为一种表述方法和控制手段，模糊逻辑理论得到了大家的共同关注。
As an approach to describe and control the system, the fuzzy logic theory has been the common concerns of people.
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