Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli
Fuzzy time series(FTS) is a well-known method for forecasting the time series data in linguistic values. Recently, a few studies have used the similarity measure approach in determining the performance of the FTS forecasting model. In this paper, an FTS forecasting model based on seven int...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi MARA Cawangan Pahang
2019
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/31176/1/31176.pdf https://ir.uitm.edu.my/id/eprint/31176/ |
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