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。
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。
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；
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。
An efficiency of the proposed methods was illustrated by time and space complexities analysis and experimental result in a weather decision table.
对其时间和空间复杂度的分析，以及对一个气象决策表例子的实验结果，证明了这些方法的有效性。
An efficiency of the proposed methods was illustrated by time and space complexities analysis and experimental result in a weather decision table.
对其时间和空间复杂度的分析，以及对一个气象决策表例子的实验结果，证明了这些方法的有效性。
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