Applications of type-2 fuzzy logic systems to forecasting of time-series

DOI10.1016/S0020-0255(99)00067-5zbMath1060.62554OpenAlexW2062897401MaRDI QIDQ1969683

Nilesh N. Karnik, Jerry M. Mendel

Publication date: 1999

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(99)00067-5

zbMATH Keywords

ForecastingFuzzy logic systemsRule uncertaintiesTime-seriesType-2 fuzzy sets

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Theory of fuzzy sets, etc. (03E72) Time series analysis of dynamical systems (37M10)

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Cites Work

• Unnamed Item
• Fuzzy sets and systems. Theory and applications
• Time series: theory and methods.
• The concept of a linguistic variable and its application to approximate reasoning. I
• Rough classification
• Rough sets
• Some properties of fuzzy sets of type 2
• Oscillation and Chaos in Physiological Control Systems
• Operations on type-2 fuzzy sets

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