Pythagorean fuzzy time series model based on Pythagorean fuzzy c-means and improved Markov weighted in the prediction of the new COVID-19 cases

DOI10.1007/s00500-021-06259-2zbMath1498.92276OpenAlexW3174271561WikidataQ114229180 ScholiaQ114229180MaRDI QIDQ2100459

Yue Cheng, Sidong Xian

Publication date: 22 November 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-021-06259-2

zbMATH Keywords

COVID-19\(n\)-Pythagorean fuzzy c-means clustering\(n\)-Pythagorean fuzzy sets\(n\)-Pythagorean fuzzy time seriesimproved Markov weighted

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Epidemiology (92D30) Inference from stochastic processes and fuzziness (62M86)

Related Items (1)

Aggregation and definition of an algebraic framework for fuzzy time series: an application in the supply-demand domain

Cites Work

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