Fuzzy Time Series Methods for Forecasting
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Authors
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Publication date
2025
Type of student thesis
Master
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Collections
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
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Olten
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Abstract
The rapid growth of time-series data in domains such as energy, finance, and IoT has intensified the trade-off between model interpretability and forecasting performance. Fuzzy Time Series (FTS) methods offer transparent, rule-based forecasts but lack systematic comparison against modern neural and linear approaches across varied real-world settings.
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English
Created during FHNW affiliation
Yes
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Review
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Citation
Vakayil, S. (2025). Fuzzy Time Series Methods for Forecasting [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/54867