Proposal of a statistical test rule induction method by use of the decision table
Proposal of a statistical test rule induction method by use of the decision table
复制标题
提出一种利用决策表的统计检验规则归纳方法
DOI：
10.1016/j.asoc.2014.11.041
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Shoutarou Mizuno
中科院分区：
文献类型：
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作者：
Y. Kato;T. Saeki;Shoutarou Mizuno
粗糙集理论是一种从决策表中估计和归纳if-then规则知识结构的方法。本文给出了一个粗糙集规则归纳能力的测试结果，通过使用模拟数据集。传统的方法存在两个主要问题：一是估计规则的多样性，二是估计规则对从总体中抽样的数据集的强依赖性。基于规则种群中存在的规则会导致决策属性值分布的不均匀性，提出了一种新的规则归纳方法。该方法可用于通过统计检验来检测规则。提出的新方法适用于模拟数据集。结果表明，该方法克服了传统方法存在的上述问题，具有明显的优越性。
Rough sets theory is widely used as a method for estimating and/or inducing the knowledge structure of if-then rules from various decision tables. This paper presents the results of a retest of rough set rule induction ability by the use of simulation data sets. The conventional method has two main problems: firstly the diversification of the estimated rules, and secondly the strong dependence of the estimated rules on the data set sampling from the population. We here propose a new rule induction method based on the view that the rules existing in their population cause partiality of the distribution of the decision attribute values. This partiality can be utilized to detect the rules by use of a statistical test. The proposed new method is applied to the simulation data sets. The results show the method is valid and has clear advantages, as it overcomes the above problems inherent in the conventional method.