In this paper, a rough set decision table analysis method based on fuzzy cluster is presented.

该文给出了一种基于模糊聚类的粗糙集决策表分析方法。

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This paper at first describes a decision logic language and granular computing using trade stock information table, then the principle of intelligent data analysis is discussed, an exa.

文章首先通过行业股信息表描述决策逻辑语言及粒子计算，然后讨论了智能数据分析的原理，同时给出具体实例并进行分析。

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Firstly, with combinatorial evaluation of the product form features, a decision table indexed by Kansei words was generated by the statistical analysis on user's Kansei questionnaire.

首先，在用户进行感性调查与产品造型特征组合评价的基础上，运用统计学方法，生成一个由感性词汇索引的决策表；

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