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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universiti Teknologi MARA Cawangan Pahang
2019
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/31176/ |
| _version_ | 1848807688394244096 |
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| author | Nik Badrul Alam, Nik Muhammad Farhan Hakim Ramli, Nazirah |
| author_facet | Nik Badrul Alam, Nik Muhammad Farhan Hakim Ramli, Nazirah |
| author_sort | Nik Badrul Alam, Nik Muhammad Farhan Hakim |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | 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 intervals of equal length and trapezoidal fuzzy numbers is presented. Then, the performance of FTS forecasting model using various types of similarity measure is compared. The FTS model is implemented in the case of students’ enrollment in the University of Alabama and the unemployment rate in Malaysia. The hybrid similarity measure of geometric distance, center of gravity, area, perimeter and height gives the best performance |
| first_indexed | 2025-11-14T22:46:48Z |
| format | Article |
| id | uitm-31176 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:46:48Z |
| publishDate | 2019 |
| publisher | Universiti Teknologi MARA Cawangan Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-311762022-09-23T08:50:29Z https://ir.uitm.edu.my/id/eprint/31176/ Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli gadingst Nik Badrul Alam, Nik Muhammad Farhan Hakim Ramli, Nazirah Research QA Mathematics T Technology (General) 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 intervals of equal length and trapezoidal fuzzy numbers is presented. Then, the performance of FTS forecasting model using various types of similarity measure is compared. The FTS model is implemented in the case of students’ enrollment in the University of Alabama and the unemployment rate in Malaysia. The hybrid similarity measure of geometric distance, center of gravity, area, perimeter and height gives the best performance Universiti Teknologi MARA Cawangan Pahang 2019 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/31176/1/31176.pdf Nik Badrul Alam, Nik Muhammad Farhan Hakim and Ramli, Nazirah (2019) Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli. (2019) Gading Journal for Science and Technology <https://ir.uitm.edu.my/view/publication/Gading_Journal_for_Science_and_Technology.html>, 2 (2). pp. 17-25. ISSN 2637-0018 |
| spellingShingle | Research QA Mathematics T Technology (General) Nik Badrul Alam, Nik Muhammad Farhan Hakim Ramli, Nazirah Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli |
| title | Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli |
| title_full | Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli |
| title_fullStr | Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli |
| title_full_unstemmed | Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli |
| title_short | Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli |
| title_sort | fuzzy time series forecasting model based on various types of similarity measure approach / nik muhammad farhan hakim nik badrul alam and nazirah ramli |
| topic | Research QA Mathematics T Technology (General) |
| url | https://ir.uitm.edu.my/id/eprint/31176/ |