Comparison of fuzzy time series forecasting model based on similarity measure concept with different types of interval length
Fuzzy time series forecasting model has been proposed to cater for data in linguistic values. One of the crucial factors that influence the performance of fuzzy time series is the partition of interval length. This paper compares the effect of several interval lengths to the performance of fuzzy tim...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Institute of Physics Inc.,
2020
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |