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- Research and Application of Algorithm for Decision Rule Reduction Based on Rough Set Theory 基于粗集理论的决策规则约简算法的研究与应用
- decision rules reduction 决策规则约简
- 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。
- Moreover, dynamic reduct and the method on establishing the decision rules resulted from it can offer more efficient and precise data for the two fields mentioned above. 而动态约简及其由约简结果制定决策规则的方法更能为以上两个领域提供高效、精确的数据保证。
- 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。
- 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。
- There are no decision rules with which to choose decision rules. 它可以告诉我们该选用哪一条规则来进行操作。
- And the relatively stable reduct are chosen from each decision subtable as the ultimate results, which also increases stability and description ability of the decision rules. 并且动态约简挑选出各子决策表中相对稳定的约简作为最终结果，这种处理方法也提高了决策规则的稳定性和描述能力。
- Rough sets theory provides a framework in which indiscernibility relations and boolean reasoning form a foundation for data reduction and decision rule generation. 粗糙集理论的概念性框架之一就是利用不可分辨关系和布尔推理作为数据约简和获取决策规则的基础。
- The paper also gives a rule reduction method to make the results succinct and understandable. 此外 ,还提出了一种分类规则约简方法 ,使挖掘的结果更简洁、更易理解
- 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。
- Finally, a new prototype system with 596 decision rules in it, based on fuzzy inference, is developed. 最后，本文发展出一个以模糊推论为基础且含596条决策规则的新原型系统。
- Decision inference of the extended decision rules was implemented using fuzzy CRI (compositional rule of inference). 用关系合成的模糊推理方法，实现了扩展决策规则集的决策推理。
- With the basic principle of rough set, customers dig out the decision rules they wanted. 利用粗糙集理论的基本原理,挖掘出用户需要的决策规则。
- Third, we propose a new way of decision rules extracting based on the discriminated matrics. 再次，提出了一种基于可分辨矩阵的决策规则提取新方法。
- A method for calculating decision rules core based on binary discernibility matrix is presented directly. 基于二进制可辨矩阵给出一个简单的直接求取决策规则核的方法,并提出一种决策规则的约简算法。
- The experiment results on data sets in Rosetta software and comparison show that the algorithm provides more precise and simple decision rules. 实验结果表明，采用所提出的算法获得的规则更为简洁和高效。
- Meanwhile,decision rule and quantificational standard for proper blank element size have been brought forward. 提出了合适的坯料网格尺寸的确定原则及其定量标准。
