Optimized Fuzzy Slope Entropy: A Complexity Measure for Nonlinear Time Series

Entropy has long been a subject that has attracted researchers from a diverse range of fields, including healthcare, finance, and fault detection. Slope entropy (SE) has recently been proposed as a new approach to address the shortcomings of permutation entropy (PE), which ignores magnitude informat...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 73; S. 1 - 14
Hauptverfasser:	Li, Yuxing, Tian, Ge, Cao, Yuan, Yi, Yingmin, Zhou, Dingsong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial rabbit optimization (ARO) Automation Classification Complexity Complexity theory Datasets Entropy Fault detection fuzzification fuzzy slope entropy (FuSE) Optimization optimized FuSE (OFuSE) Parameter sensitivity Performance evaluation Permutations slope entropy (SE) Symbols Synthetic data Time measurement Time series Time series analysis
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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