Connecting the improved attributes reduction algorithm with other algorithms.
将属性约简算法与其他算法结合在一起使用。
Firstly, the attributes reduction algorithm is studied under the incomplete information systems.
首先，研究了在不完备信息系统下的属性约简算法。
In this paper, we propose a new attributes reduction algorithm based on the significance of attribute dependencies as heuristic information and add a certain variable precision.
粗糙集理论是一种新的数据挖掘算法，文章以属性依赖重要性作为启发信息提出了一种新的属性约简算法，且加入了一定的分类正确度。
Using the algorithm, system can collect customers' attributes data and eliminate redundant data attributes from emporium marketing database by pretreatment, data reduction and other steps.
利用该算法，通过预处理、数据约减等步骤从商场营销数据库中收集顾客属性数据，消去多余数据属性。
This paper gives the judgement theorems of consistent set and characters of attributes in consistent decision formal context and provides an algorithm to explore the reduction.
该文在协调决策形式背景下给出了协调集及属性特征的判定定理，并在此基础上得到了一种求属性约简的方法。
The minimum attributes reduction set is expected to acquire the brief regulated set. This is taken as NP-hard Problem, which can be figured out through the heuristic algorithm.
为了获得简明的规则集，通常希望能找出最小的属性约简集，而求解最小约简是NP难问题，解决此类难题通常采用启发式算法以求得近似最优解。
The minimum attributes reduction set is expected to acquire the brief regulated set. This is taken as NP-hard Problem, which can be figured out through the heuristic algorithm.
为了获得简明的规则集，通常希望能找出最小的属性约简集，而求解最小约简是NP难问题，解决此类难题通常采用启发式算法以求得近似最优解。
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