It includes the proposing of the theory, some relevant fundamental concepts, the reduction of data and attributes, KRS, decision analysis, and the reduction of decision rules.
包括理论的提出，一些基本的概念，数据的约简，知识表达系统，属性的约简，决策逻辑和决策规则最小化等。
Dynamic reduction problem is discussed and algorithm adding and reducing rules in the decision-making table dynamically are put foreword so as to reduce the computing complexity.
一方面分析了动态自主知识获取问题中的决策表动态约简问题，确定了在获得基本最小规则集后动态增加或减少规则的算法。
This paper analyses attribute value reduction, and presents a method to acquire briefest rules directly by constructing decision matrix in consistent decision table.
该文分析属性值约简，针对协调决策表提出一种通过构造决策矩阵直接获取最简规则的方法。
Secondly, during reduction of attribute values, some irrelevant attributes are further eliminated, then abstractation of personalized decision rules is accomplished.
然后在属性值约简中进一步去除与用户无关的属性，从而抽取个性化决策规则。
The new algorithm carries out the reduction processing to the generated decision rules containing the frequency attribute and obtains the simplest decision rules.
新的算法对生成的带频度属性的决策规则进行约简处理，得出最简决策规则。
The key factors affecting the quality of molding were detected through attribute reduction and value reduction, and the decision rules important to control the molding results were thus obtained.
通过属性约简和值约简，找出影响成型质量的关键因素，从而得到判断成型结果的决策规则。
Appropriate discretization method and reduction method are chosen and a few but enough decision rules are obtained, which can make the real-ti me diagnosis program simple.
其中在粗集诊断部分，提出了适合该研究对象的离散和简约方法，从而得到了少量但足够用的决策规则，使得实时诊断程序结构简单，实时性好。
An approach of reduction decision table is proposed to induce decision rules.
并在此基础上，给出了一种决策表的简化方法，推导出决策规则。
The research of this thesis is mainly about the dynamic reduction based on rough set theory as well as how to establish and develop the decision rules after completing the reduction.
本论文的研究工作，主要围绕着基于粗糙集理论的动态约简以求得决策规则。
Therefore, it is necessary to perform feature reduction for the decision rules of shot boundary.
因此，有必要对镜头边界检测的规则进行特征约简。
The main idea of rough set theory is to extract decision rules by attribute reduction and value reduction in the premises of keeping the ability of classification.
粗糙集理论的主要思想是在保持分类能力的前提下通过属性约简和值约简提取的决策规则。
Information reduction method is given, in which includes RS knowledge modeling, RS decision logic expression, distinction matrix making, cores calculation, attributes reduction, rules generation, etc.
给出了数据约简方法，包括建立RS知识模型、RS决策逻辑表示、确定辨识矩阵、计算其核心、进行属性归约、规则形成等内容。
Information reduction method is given, in which includes RS knowledge modeling, RS decision logic expression, distinction matrix making, cores calculation, attributes reduction, rules generation, etc.
给出了数据约简方法，包括建立RS知识模型、RS决策逻辑表示、确定辨识矩阵、计算其核心、进行属性归约、规则形成等内容。
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