A novel method for forecasting time series based on fuzzy logic and visibility graph

DOI10.1007/s11634-017-0300-3zbMath1414.40004OpenAlexW2769087035MaRDI QIDQ2418342

Rong Zhang, Yong Deng, Baabak Ashuri

Publication date: 3 June 2019

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-017-0300-3

zbMATH Keywords

fuzzy logictime seriesforecastingvisibility graphlink prediction

Mathematics Subject Classification ID

Multiple sequences and series (40B99)

Related Items (8)

Measuring transferring similarity via local information ⋮ An information dimension of weighted complex networks ⋮ Entropic methodology for entanglement measures ⋮ Identifying influential nodes in complex networks: A node information dimension approach ⋮ Stable strategies analysis based on the utility of Z-number in the evolutionary games ⋮ Evidential identification of influential nodes in network of networks ⋮ D number theory based game-theoretic framework in adversarial decision making under a fuzzy environment ⋮ Uncertainty measurement with belief entropy on the interference effect in the quantum-like Bayesian networks

Uses Software

• forecast
• Forecast

Cites Work

• Unnamed Item
• A fuzzy seasonal ARIMA model for forecasting
• A new measure of identifying influential nodes: efficiency centrality
• Distributed compressed sensing based joint detection and tracking for multistatic radar system
• Using interval information granules to improve forecasting in fuzzy time series
• RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS
• From time series to complex networks: The visibility graph
• A New Aggregating Operator for Linguistic Information Based on D Numbers
• Fuzzy sets

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