Fuzzy relation analysis in fuzzy time series model

被引:87
|
作者
Tsaur, RC [1 ]
Yang, JCO
Wang, HF
机构
[1] Hsuang Chuang Univ, Dept Finance, Hsinchu, Taiwan
[2] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu 300, Taiwan
基金
美国国家科学基金会;
关键词
fuzzy time series model; entropy; fuzzy relation; secular trend;
D O I
10.1016/j.camwa.2004.07.014
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:539 / 548
页数:10
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