Interpolating time series based on fuzzy cluster analysis problem
Publish place: Iranian Journal of Fuzzy Systems، Vol: 17، Issue: 3
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJFS-17-3_012
تاریخ نمایه سازی: 30 خرداد 1400
Abstract:
This study proposes the model for interpolating time series to use them to forecast effectively for future. This model is established based on the improved fuzzy clustering analysis problem, which is implemented by the Matlab procedure. The proposed model is illustrated by a data set and tested for many other datasets, especially for ۳۰۰۳ series in M۳-Competition data. Comparing to the existing models, the proposed model always gives the best result. We also apply the proposed model in forecasting the salt peak for a coastal province of Vietnam. Examples and applications show the potential of the studied problem.
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Authors
V. V. Tai
College of Natural Science, Can Tho University, Can Tho city, Vietnam.
L. D. Nghiep
College of Basis Science, Nam Can Tho University, Can Tho city, Vietnam.