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- Decision Table Reduction based on Conditional Information Entropy 基于条件信息熵的决策表约简
- decision table reduction 决策表约简
- 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。
- Thus a relatively perfect theory and technique scheme of dynamic reduct of the decision table is formed. 形成了较为完善的决策表动态约简理论和技术方案。
- 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。
- The paper emphasizes on two kinds of methods on directly accessing the decision rules with decision table and how to calculate decision rules with dynamic reduct. 详细介绍了两种根据决策表直接求取决策规则的方法，以及如何由动态约简计算决策规则。
- The results obtain by using three knowledge reduction approaches (algebra approach, information approach and discernibility-matrix-based approach) respectively may be different in inconsistent decision table. 摘要对不相容决策表分别使用3种知识约简方法（代数方法、信息熵方法和差别矩阵方法）得到的结果可能不同。
- At last, the authors get the decision table and distill decision rules. 最后得到决策表的简化表，并从中提取出决策规则。
- 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。
- Two definitions called discernible Boolean matrix of consistent decision table and elementary row transformation of Boolean matrix are given.A model related to attribute reduction is established. 提出协调决策表的可辨识布尔矩阵和布尔矩阵的初等行变换的概念,建立属性约简的数学模型。
- Each section has a decision table to help you quickly find the information you're looking for. 其中每个部分都有一个决策表,用于帮助您快速找到要查找的信息。
- 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。
- In addition, the algorithm given in the paper is suitable for the decision table which has duplicated tuples. 文中所给出的算法特别适合于具有重复元组的决策表。
- Association computation rules and their mergence were constructed to reduce the scale of the decision table. 再次，进一步构造出基于粗糙集的关联运算法则及规则合并，以缩小决策表规模。
- In this paper, we give a more improved greedy algorithm for discretization of decision table. 摘要 对决策表属性离散化的贪心算法做了进一步改进。
- The relationship between the attribute set of decision table,Boolean matrix and resolve of logic equation set is set up. 建立了布尔矩阵与逻辑方程组的解和决策表中的属性集之间的关系;
- In order to compute discernibility object pair set，a quick algorithm for simplified decision table is provided，whose time complexity is O（|C||U|）. 为求出区分对象对集，首先给出了一个快速求简化决策表的算法，其时间复杂度为O（|C||U|）。
- We implement the algorithms above and select a decision table from nursery database of UCI database and the results illustrate that the algorithm is valid. 以上的算法我们通过使用UCI的nursery数据库进行实验,验证了算法的有效性。
- Concerning decision table, the concept of partial granulation was introduced, and an algorithm of dynamic mining of decision rules based on partial granulation was proposed. 摘要针对决策表，引入了偏序粒的概念，提出了一种基于偏序粒的动态决策规则提取算法。
