A rule-based granular model development for interval-valued time series

DOI10.1016/j.ijar.2021.06.009OpenAlexW3175239188MaRDI QIDQ2237514

Yanyan Li

Publication date: 27 October 2021

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2021.06.009

zbMATH Keywords

modelinggranular computinginterval-valued time seriesrule-based granular model

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Exploring long-memory process in the prediction of interval-valued financial time series and its application

Cites Work

• Unnamed Item
• Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Fully complex multi-layer perceptron network for nonlinear signal processing
• Comparison of fuzzy numbers using a fuzzy distance measure
• Fuzzy information granular structures: a further investigation
• Modeling and forecasting interval time series with threshold models
• An application of interval methods to stock market forecasting
• Toward a generalized theory of uncertainty (GTU) -- an outline
• Information granules: Towards foundations of granular computing
• Introduction to Interval Analysis
• Rough sets

This page was built for publication: A rule-based granular model development for interval-valued time series