Using rough set of the final value reduction algorithm for text classification rules extraction, thus gained the final text classification rules.
然后采用粗糙集的值约简算法来进行文本分类规则的抽取，从而得到最终的文本分类规则。
The algorithm complexity analysis shows that, to a certain extent, the algorithm could resolve the NP hard problems of attributive value reduction.
通过算法复杂度分析说明，该算法在一定程度上解决了属性值约简的NP难问题。
Then, according to the features of the generalized information table, the algorithms of acquiring minimal attribute reduction, attribute value reduction and minimum decision algorithm are put forward.
首先介绍了决策表、广义信息表的构造及特点，然后给出了求决策表的最小属性约简及最小决策算法的计算方法。
Based on the definitions, the core finding algorithm, the relative attribute reduction algorithm and value reduction of information decision system are presented based on binary discernibility matrix.
在定义的基础上，给出了基于二进制区分矩阵的求核算法、相对属性约简算法及值约简算法。
A weighted critical path algorithm was provided to calculate the expectation value of the workflow's duration, record the process of reduction, and identify the time-oriented critical path.
通过加权关键路径算法，可以计算工作流完成时间的期望值及记录约简过程中的中间结果，从而确定工作流模型的关键路径。
And putting forwarded the improved algorithm of value attribute reduction that decreases the complexity of time greatly.
并提出改进的值约简算法，时间复杂度在原有基础上大大减少。
And by the reduction of pilot Numbers, frequency resource of the system is increased. In addition, with singular value decomposition, the algorithm computational complexity can be simplified.
通过简化导频数提高了系统频带利用率，利用奇异值分解进一步简化了算法复杂度。
The general algorithm of attribute reduction and value reduction is presented, from which the attribute reduction algorithm based on information is proposed.
并给出了粗糙集理论中属性约简以及值约简的常规算法，在此基础上给出了基于信息量的属性约简算法。
The general algorithm of attribute reduction and value reduction is presented, from which the attribute reduction algorithm based on information is proposed.
并给出了粗糙集理论中属性约简以及值约简的常规算法，在此基础上给出了基于信息量的属性约简算法。
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