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
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
COVID-19\(n\)-Pythagorean fuzzy c-means clustering\(n\)-Pythagorean fuzzy sets\(n\)-Pythagorean fuzzy time seriesimproved Markov weighted
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)
Cites Work
- Deterministic vector long-term forecasting for fuzzy time series
- Intuitionistic fuzzy sets
- Fuzzy time series and its models
- Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm
- Picture fuzzy clustering: a new computational intelligence method
- Forecasting enrollments using high-order fuzzy time series and genetic algorithms
- Fuzzy sets
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
- Unnamed Item
This page was built for publication: Pythagorean fuzzy time series model based on Pythagorean fuzzy c-means and improved Markov weighted in the prediction of the new COVID-19 cases