• 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。

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  • 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。

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  • 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。

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  • 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。

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  • Finally, rough set theory is applied to discretization and attribution reduction of decision information table, in order to make the decision rule of image segmentation algorithm selection.

    最后应用粗糙集理论来对决策信息表进行离散化处理和属性约简,以生成图像分割算法选取的决策规则。

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  • The method combined CHI value feature selection and rough set theory fully so as to avoid both feature reduction on a large scale decision table and the discretization of the decision table.

    该方法将CHI值特征选取和粗糙集理论充分结合,避免了用粗糙集对大规模决策表进行特征约简,同时避免了决策表的离散化。

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  • 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。

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  • In the rough set theory and rough-fuzzy set theory, computation of approximations and edge and attributes reduction of decision table is import part of them.

    在粗糙集理论及粗糙模糊集理论中,上下近似及边界的求解与决策表属性约简是它们的核心内容。

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  • An example shows this algorithm can achieve the minimal relative reduction of incomplete decision table.

    通过实例说明,该算法能得到不完备决策表的最小相对约简。

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  • 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。

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  • Universe reduction refers to the compression of object set in decision table.

    论域约简是指对决策表对象集合的压缩。

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  • 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。

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  • The conditional entropy of decision table will not change in the reduction process.

    知识约简后决策表的条件熵等于初始决策表的条件熵。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.

    粗糙集理论是一种新型的数据挖掘和决策分析方法,利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。

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  • As to decision table, positive domain reduction, entropy reduction, distributive reduction, distribution reduction, approximate reduction and so on are introduced from different views.

    对于决策表,人们从不同的角度出发,提出了正域约简、熵约简、分布约简、分配约简、近似约简等约简理论与方法。

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  • 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。

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  • 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。

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  • 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。

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  • Finally, the reduction of fault diagnosis decision-table by the program is achieved and the results show the effectiveness and usefulness of the approach by testing the concrete example.

    编程实现了对故障决策表的约简,测试结果证明了谚约简算法的有效性和可用性。

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  • Based on that theory, this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment.

    本文根据粗糙集理论,对设备的振动故障诊断决策表进行属性约简,以提取故障识别的重要属性,降低决策表的冗余性。

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  • Based on that theory, this paper deals with the attribute reduction for the fault diagnosis decision-making table of the vibration equipment.

    本文根据粗糙集理论,对设备的振动故障诊断决策表进行属性约简,以提取故障识别的重要属性,降低决策表的冗余性。

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