Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by conditional information quantity.
并举例说明，对于不一致决策表，其属性约简的代数表示不能用条件信息量来等价表示。
Through examples, it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.
并举例说明，对于不一致决策表，其属性的约简不能用信息量来等价表示。
In this paper, a novel decision table discretization algorithm is presented, which has fine attribute reduction function in time of data discretization and increases quality of classification.
本文提出了一个新的决策表离散化算法，该算法在离散化数据的同时具有良好的属性约简功能。
Under the condition of unchanged classification and decision abilities, attribute reduction is to delete irrelative or unimportant attribute.
属性约简要求在保持知识库的分类和决策能力不变的条件下，删除不相关或不重要的属性。
The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
Then, we present an improved decision matrix together with a method for attribute reduction of the decision table and an example shows that the improved method is effective and complete.
然后给出一个改进的决策矩阵和属性约简方法，例子分析表明，改进后的方法是有效的和完备的。
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。
A kind of attribute relative reduction for decision attribute support degree was proposed.
提出了一种基于决策属性支持度的属性相对约简算法。
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。
A kind of attribute relative reduction for fuzzy decision attribute dependent degree is proposed.
提出了一种基于模糊决策属性依赖度的属性相对约简算法。
But the attribute reduction is a NP problem, the attribution reduction and decision rule reduction will be solved by method of elicitation.
但是属性约简是一个NP问题，对属性的约简和决策规则的约简只能通过启发式算法实现。
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。
After that we study on the ordered decision table and propose a new heuristic attribute reduction algorithm based on dominance matrix, whose time complexity is polynomial.
再次，对有序决策表进行了研究，提出了一种基于优势矩阵的启发式属性约简算法。
A distributed model of incremental attribute reduction is also presented by decomposing values of decision attribute of positive region and boundary region in non-tolerant decision table.
此外，通过对不相容决策表的正区域的决策值和边界域对原决策表进行分解，得到了一种分布式增量属性约简模型。
With regard to the attribute values in decision table, which are described with hybrid data, a new algorithm of attribute reduction based on rough set theory is proposed.
针对决策表中属性取值为杂合数据的情况，提出了基于粗糙集理论的属性约简算法。
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。
The main contents include the approximation set, decision systems, data preprocessing and attribute reduction and so on. It is a effective method of dealing with incomplete, inaccurate data.
其主要内容包括近似集、决策系统、数据预处理以及属性约简等等，是一种处理不完整，不精确数据的有效方法。
Then, according to the features of the generalized information table, the algorithms of acquiring minimal attribute reduction, attribute value reduction and minimum decision algorithm are put forward.
首先介绍了决策表、广义信息表的构造及特点，然后给出了求决策表的最小属性约简及最小决策算法的计算方法。
In the theory of rough set, attribute reduction of decision table was an important research subject.
在粗糙集理论中，决策表的属性约简是一个非常重要的研究课题。
Basing on the object oriented concept lattice and the attribute oriented concept lattice, this paper deals with approaches to attribute reduction in consistent decision formal context.
本文研究基于对象定向概念格和属性定向概念格协调决策形式背景属性约简的问题。
Then, considering the practical requirements of team combat, a method for reduction of attribute-values under single decision attribute is extended to the reduction under multi-decision attributes.
并将单一决策属性下的属性值约简方法推广，讨论了更适于编队作战分析的多决策属性下的属性值约简问题。
In this paper, a new data reduction method-multi-attribute group decision-making is used to solve the dock forecasting.
本文提出了利用一种新型的数据缩减方法—多指标群决策解决股票预测问题的思路。
Based on the definitions, the core finding algorithm, the relative attribute reduction algorithm and value reduction of information decision system are presented based on binary discernibility matrix.
在定义的基础上，给出了基于二进制区分矩阵的求核算法、相对属性约简算法及值约简算法。
The attribute missing values filling, attribute reduction and the choice of decision tree branch attributes are researched in this paper.
本文从属性值缺失的填补、属性约简和决策树分支属性选择三方面进行研究。
Based on rough logic, theorems is presented, whether attribute reduction and minimal decision algorithm change or not when a new instance is added to the universe.
以粗糙逻辑为基础，首先给出了在新实例加入论域后判断约简变化与否以及判断原极小决策算法中决策规则变化与否的判定依据。
To a certain extent, the algorithm can resolve the attribute reduction problem of abnormal decision tables and extend application of rough set theory.
该算法在一定程度上能够解决非常规决策表的属性约简问题，进一步扩展了粗糙集理论的应用范围。
In particular, a decision table in which the decision attribute has only two values is obtained, and its generalized reduction and relative reduction are equivalent.
特别的，得到了决策属性只取两个决策值的决策表，其广义决策约简同相对约简是等价的。
Finally, attribute reduction in consistent decision formal context is explored.
最后，讨论了带有决策的形式背景的属性约简问题。
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。
In this paper, with respect to the ordinal variables, the definitions of attribute reduction of dominance-based rough set approach in ordered information systems and ordered decision tables are given.
针对有序尺度变量，给出了有序信息系统与有序决策表在优势关系下的粗糙集约简定义；
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