Article ID Journal Published Year Pages File Type
10346854 Computers & Mathematics with Applications 2005 10 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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