Multi-variable time series forecasting model based on high-order hesitant probabilistic linguistic fuzzy logical relationship-Reference-Cited by-同舟云学术

Multi-variable time series forecasting model based on high-order hesitant probabilistic linguistic fuzzy logical relationship

Published:2023-12-30 Issue: Volume: Page:1-18
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Gao Junhong¹,Wang Yuyan¹,Cheng T. C. Edwin²

Affiliation:

1. School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, People’s Republic of China

2. PolyU Business School, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Funder

Self Cultivation Innovation Team Project of Jinan

Shandong Province Taishan Scholars Project

the National Natural Science Foundation of China

the Science and Technology Support Program for Youth Innovation of Colleges and Universities in Shandong Province

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Signal Processing,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2023.2299877

Reference48 articles.

1. Handling higher order time series forecasting approach in intuitionistic fuzzy environment

2. A high order seasonal fuzzy time series model and application to international tourism demand of Turkey

3. Choosing the appropriate order in fuzzy time series: A new N-factor fuzzy time series for prediction of the auto industry production

4. Multivariate Picture Fuzzy Time Series: New Definitions and a New Forecasting Method Based on Pi-Sigma Artificial Neural Network

5. Combining embeddings and fuzzy time series for high-dimensional time series forecasting in internet of energy applications