Chapter 3 of this thesis summarizes the form of decision - making and explains the principle and demand of program 本文的第三章将就各种决策方式进行总结，并说明决策表的形成原理和程序要求。
This paper is devoted to generalize those reducts and reveal those reducts ' usefulness in case of analyzing inconsistent decision table 在此概括这些知识约简并介绍其在分析不相容决策表中的作用。
With respect to incomplete decision table , the thesis puts forward a kind of reduct algorithm based on the significance of attribute 针对不完备决策表，本文提出了一种基于属性重要性的知识约简算法。
Chapter 4 of this thesis analyzes the quest ion of cure table actually , brings forward the idea of program and designs it 本文的第四章结合实际分析决策表录入问题，提出设计思想，从而设计决策表接口程序。
The results provides theory basis for knowledge acquisition of information systems and decision table based on general binary relation 所得结果为在一般二元关系下的信息和决策表的知识获取提供了理论依据。
At last , applying the distance graph of the reduced decision table , we propose a way to get the core of each decision rule 最后，建立了一个利用约简决策表的距离图求决策规则的核值及最小决策算法的算法框架。
The prominent merit of this algorithm is that it can adjust the threshold automatic and satisfy the consistence degree requested 此算法的一个最大优点是能自动调整离散化过程中的阈值，且能达到所要求的决策表相容度。
This method can be applicable to inconsistent decision tables , and the rule result keep consist to the original information system 该方法能适应决策表的不一致情形，且运用此方法所提取的规则集能够保持与原信息系统一致。
This paper proposes the concept of the decision table of the attributes reduction , and gives the method of the reducing attributes based on discernibly vector 文章提出了决策表的区分向量的概念，并给出了利用区分向量进行属性约简的方法。
This thesis mainly deals with theory and application of combination of rough set and relational database , besides knowledge reduction in decision table 本文主要基于粗糙集理论和关系数据库的结合以及知识约简在决策表中的理论和应用研究。
