A new fuzzy time series forecasting method based on clustering and weighted average approach-Reference-Cited by-同舟云学术

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A new fuzzy time series forecasting method based on clustering and weighted average approach

Published:2020-05-29 Issue:5 Volume:38 Page:6089-6098
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Iqbal Shafqat¹,Zhang Chongqi¹,Arif Muhammad²,Hassan Munawar³,Ahmad Shakeel¹

Affiliation:

1. School of Economics and Statistics, Guangzhou University, Guangzhou, China

2. School of Computer Science and Technology, Guangzhou University, Guangzhou, China

3. College of Agriculture Economics and Management, Jilin Agriculture University, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference32 articles.

1. Fuzzy time series and its models;Song;Fuzzy Sets and Systems,1993

2. Fuzzy sets;Zadeh;Information and Control,1965

3. Secure VANETs: Trusted communication scheme between vehicles and infrastructure based on fog computing;Arif;Stud Inform Control,2018

4. Simulation-based optimization using genetic algorithms for multi-objective flexible JSSP;Nicoara;Studies in Informatics and Control,2011

5. Forecasting enrollments based on fuzzy time series;Chen;Fuzzy Sets and Systems,1996

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