| Autor: |
Haikal, A. Nafis, Vianita, Etna, Surarso, Bayu, Hariyanto, Susilo |
| Předmět: |
|
| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2774 Issue 1, p1-6, 6p |
| Abstrakt: |
Forecasting is one of the important elements for making a decision. One of the most frequently used forecasting methods is fuzzy time series. In recent years, a number of methods have been proposed for forecasting using the fuzzy time series method. This study aims to explore how to determine the division of the length of the interval. The division of intervals in the fuzzy time series usually divides the intervals into equal lengths, whereas in this study, the division of intervals will be carried out using the ratio interval method and then combined with the frequency density method. The ratio interval method does not divide the intervals equally in length, but divides the intervals based on the ratio. The obtained intervals are then partitioned again using the frequency density method. This study focuses on the comparison between the fuzzy time series method based on the interval ratio, the fuzzy time series method based on the frequency density, and the combination of the two methods. These methods will be applied to Indonesian rubber production data for 20 years, from 2000 to 2020. The result shows that the combination of the two methods gives the best accuracy. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
