Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10346854 | Computers & Mathematics with Applications | 2005 | 10 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Ruey-Chyn Tsaur, Jia-Chi O Yang, Hsiao-Fan Wang,