作者
Ruey-Chyn Tsaur, Jia-Chi O Yang, Hsiao-Fan Wang
发表日期
2005/2/1
期刊
Computers & Mathematics with Applications
卷号
49
期号
4
页码范围
539-548
出版商
Pergamon
简介
Fuzzy relation is a crucial connector in presenting fuzzy time series model. However, how to obtain a fuzzy relation matrix to represent a time-invariant relation is still a question. Based on the concept of fuzziness in Information Theory, the concept of entropy is applied to measure the degrees of fuzziness when a time-invariant relation matrix is derived. Finally, an example is illustrated to show that the proposed method could obtain more accurate and robust results in forecasting.
引用总数
学术搜索中的文章
RC Tsaur, JCO Yang, HF Wang - Computers & Mathematics with Applications, 2005