Attribute reduction algorithm based on attribute union;
基于关系积的属性约简算法
A new reduction algorithm for discretization of continuous features;
一种新的用于连续值属性离散化的约简算法
Aiming at reduction of decision table, a reduction algorithm by using attribution length and frequency as heur.
针对决策表约简这一NP(NondeterministicPolynomial)难问题采用粗糙集理论进行配电网故障诊断,提出了一种以属性长度和频率作为启发式信息的约简算法和相应的属性值约简方法,实现了决策表的快速简化及故障诊断规则提取,同时针对故障诊断中存在信息残缺的情况,给出了基于欧氏距离的规则匹配方法。
To obtain the minimal relative reducts of effective attributes,from the viewpoint of heuristic reduct algorithm based on attributes frequency,propose a heuristic reduct algorithm,which satisfies both attributes importance and amelioration of frequency.
为了获得有效的属性最小相对约简,在基于属性频度的启发式约简算法的基础上,提出了一种同时满足属性重要性和频度改进的启发式约简算法。
A value reduction algorithm based on importance of attributes;
一种基于属性重要度的值约简算法
, attribute reduction algorithm of rough sets and support vector machines (SVM), is proposed.
首先根据历史数据建立属性决策表,通过属性约简算法对数据进行挖掘,找到影响负荷的核心因素,然后将它们作为支持向量机的输入矢量来预测负荷。
This paper proposed and analyzed an attribute reduction algorithm of weighted mean attribute significance.
因此提出并分析了属性的加权平均重要性的属性约简算法,该算法可以确保得到决策表的一个约简,且不需要计算核,减少计算量,提高计算速度。
This paper discussed the attribute reduction in rough set combined fuzzy relation theory,and then proposed a new attribute reduction algorithm and gave an illustrative example.
结合模糊关系的理论,对粗糙集理论的属性约简算法进行研究,提出了一个新的属性约简算法,并给出了一个应用实例。
