Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures-Reference-Cited by-同舟云学术

Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures

Published:2016-01 Issue: Volume:327 Page:272-287
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Cheng Shou-Hsiung,Chen Shyi-Ming,Jian Wen-Shan

Funder

Chienkuo Technology University

Ministry of Science and Technology, Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference67 articles.

1. A new time invariant fuzzy time series forecasting method based on particle swarm optimization;Aladag;Appl. Soft Comput.,2012

2. A heuristic time-invariant model for fuzzy time series forecasting;Bai;Expert Syst. Appl.,2011

3. J. Blondin, Particle swarm optimization: a tutorial. [Online]. Available from: http://cs.armstrong.edu/saad/csci8100/pso_tutorial.pdf.

4. A novel stock forecasting model based on fuzzy time series and genetic algorithm;Cai;Proc. Comput. Sci.,2013

5. A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression;Cai;Knowl-Based Syst.,2015

Cited by 170 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM;Information Sciences;2024-09

2. Freight rate index forecasting with Prophet model based on multi-dimensional significant events;Expert Systems with Applications;2024-09

3. A fuzzy Gaussian process regression function approach for forecasting problem;Granular Computing;2024-04-18

4. Long-term prediction of time series based on fuzzy time series and information granulation;Granular Computing;2024-04-16

5. Intuitionistic fuzzy time series forecasting model based on intuitionistic fuzzification function approach;AIP Conference Proceedings;2024