多粒度时间序列中模糊规则的提取

Discovering Fuzzy Rules in Multiple Granularity Time Series

介绍了一种从多粒度时间序列中提取模糊规则的数据挖掘方法 ,该方法在时间序列中引入多重时间粒度 ,以模糊规则的形式给出数据挖掘的结果 .建立多粒度时间序列的数学模型 ,并对提取模糊规则中所涉及的一些基本概念作出定义 .在此基础上 ,给出数据挖掘的具体算法 .

A data mining method, which discovers fuzzy rules in multiple granularity time series, was proposed. This method introduces multiple granularity into the time series and provides the outcome of data mining in form of fuzzy rules. After the mathematical model of multiple granularity time series is established, some notations related to the fuzzy rules are defined. The mining algorithm is presented in details. Some experimental results are also provided to indicate the validity of the mining algorithm.