1) fuzzy association rules
模糊关联规则
1.
Application of multidimensional time series fuzzy association rules for hot metal temperature forecasting in a blast furnace;
多维时序模糊关联规则在高炉炉温预报中的应用
2.
System for attack recognition based on mining fuzzy association rules;
一种基于模糊关联规则挖掘的攻击识别系统
3.
Mining fuzzy association rules for processing industry based on fuzzy clustering;
基于模糊聚类的模糊关联规则在流程企业中的应用
2) fuzzy association rule
模糊关联规则
1.
As the fuzzy concepts can reflect the world more naturally,the fuzzy association rules play a more important role in the data mining research fields.
关联规则发现是数据挖掘研究领域中的重要内容之一,而以自然语言描述的模糊关联规则更符合人类的思维方式,在决策中占据重要作用。
2.
In view of that the general association rules can t express the association of fuzzy data,a series of definitions of fuzzy association rules is given and an algorithm of fuzzy association rule mining is proposed based on tree structure.
针对普通关联规则不能表达挖掘对象中模糊信息的关联性问题,给出了一系列有关模糊关联规则的定义,并提出一种基于树形结构的模糊关联规则挖掘算法(FARMBT)。
3.
This paper employs fuzzy association rules mining algorithm(FARMA)to mine highly effective fuzzy rules from network data sets,and then uses the obtained rules to design and construct fuzzy classifiers for intrusion detection.
论文把模糊关联规则挖掘算法引入到网络的入侵检测,利用该算法从网络数据集中提取出具有较高可信性和完备性的模糊规则,并利用这些规则设计和实现用于入侵检测的模糊分类器。
3) fuzzy associate rules
模糊关联规则
1.
In the algorithm, each quantitative attribute is replaced by a fuzzy set and divided into several attributes, which are calculated as separate attributes of database in mining fuzzy associate rules.
阐述了在入侵检测中应用模糊关联规则挖掘的方法,提出了对传统Apriori算法的改进。
2.
In this paper, we describe the technology of mining fuzzy associate rules.
针对数据挖掘中的“尖锐边界”问题,阐述了模糊关联规则挖掘技术,提出了在模糊关联规则的挖掘中将事务属性模糊集中的元素作为单一属性来处理的方法,给出了模糊关联规则挖掘的算法。
3.
This paper describes the technology of mining fuzzy associate rules.
文中阐述了模糊关联规则挖掘技术,提出了在模糊关联规则的挖掘中将事务属性模糊集作为单一属性来处理的方法。
4) fuzzy weighted association rules
模糊加权关联规则
1.
Study & application of a fuzzy weighted association rules;
一种模糊加权关联规则算法及其在流程工业中的应用
2.
In order to advance the performance of association rules mining algorithm when disposing big dataset,a novel fuzzy weighted association rules mining algorithm namely FWAR is proposed.
为了提高关联规则挖掘算法处理大数据集的性能,提出一种新的模糊加权关联规则挖掘算法——FWAR算法。
3.
To monitor flowing industry s production,the large history data are analyzed by fuzzy weighted association rules algorithm.
采用数据挖掘中的模糊加权关联规则对流程企业中的设备运行数据进行分析,首先阐述了模糊理论和Apriori算法的内容,分析参数点的重要程度,找出偏离常规运行状态但未到报警界限的参数点并模糊化,得到了隶属函数截集的均值和综合加权值,然后对传统的Apriori算法进行改进,提出了加权的关联规则算法并编程实现,从而起到流程企业设备故障监控的作用。
5) fuzzy classification association rules
模糊分类关联规则
1.
Grouping fuzzy decision based on simplified fuzzy classification association rules;
基于精简模糊分类关联规则的分组模糊判决方法
6) intuitionistic fuzzy associate rules
直觉模糊关联规则
1.
Algorithm of mining intuitionistic fuzzy associate rules;
直觉模糊关联规则挖掘及算法研究
补充资料：模糊规则
模糊规则的形式为：if x is A then y is B
其中A和B为由论域X和Y上的模糊集合定义的语言值。“x is A”称为前提，“y is B”称为结论。
以上模糊规则可以简写为A → B。本质上模糊规则是定义在X × Y上的二元模糊关系R。A → B有
两种解释，一种是A耦合（coupled with）B:
<math>R=A \rightarrow B = A \times B = \int_{X \times Y}^{}tnorm(\mu_A (x), \mu_B (y))/(x,y)</math>
另一种是A导致（entails）B：
<math>R=A \rightarrow B = \bar{A} \cup B</math>
基于以上两种解释和不同的tnorm, tconorm算子，模糊规则可以有多种合法的计算公式。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条