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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Bibliographic Details
Main Authors: Nik Badrul Alam, Nik Muhammad Farhan Hakim, Ramli, Nazirah
Format: Article
Language:English
Published: Universiti Teknologi MARA Cawangan Pahang 2019
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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