Multivariate Picture Fuzzy Time Series: New Definitions and a New Forecasting Method Based on Pi-Sigma Artificial Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s10614-021-10202-w.pdf
Reference47 articles.
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2. Abhishekh, G. S. S., & Singh, S. R. (2018). A refined method of forecasting based on high-order intuitionistic fuzzy time series data. Progress in Artificial Intelligence, 7, 339–350.
3. Ahmadi, M. (2020). A computational approach to uncovering economic growth factors. Computational Economics. https://doi.org/10.1007/s10614-020-09985-1
4. Ahmadi, M., Jafarzadeh-Ghoushchi, S., Taghizadeh, R., & Sharifi, A. (2019). Presentation of a new hybrid approach for forecasting economic growth using artificial intelligence approaches. Neural Computing and Applications, 31(12), 8661–8680.
5. Bisht, K., & Kumar, S. (2019). Intuitionistic fuzzy set-based, computational method for financial time series forecasting. Fuzzy Information and Engineering, 10(3), 307–323.
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