Abstract
This paper provides an overview of numerical methods in order to solve fuzzy equations (FEs). It focuses on different numerical methodologies to solve FEs, dual fuzzy equations (DFEs), fuzzy differential equations (FDEs) and partial fuzzy differential equations (PFDEs). The solutions which are produced by these equations are taken to be the controllers. This paper also analyzes the existence of the roots of FEs and some important implementation problems. Finally, several examples are reviewed with different methods.
Original language | English |
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Title of host publication | Advances in Computational Intelligence Systems |
Subtitle of host publication | Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK |
Editors | Zhaojie Ju, Longzhi Yang, Chenguang Yang, Alexander Gegov, Dalin Zhou |
Publisher | Springer |
Pages | 3-14 |
ISBN (Electronic) | 978-3-030-29933-0 |
ISBN (Print) | 978-3-030-29932-3 |
DOIs | |
Publication status | Published - Sept 2019 |
Event | 19th UK Workshop on Computational Intelligence - Portsmouth, United Kingdom Duration: 4 Sept 2019 → 5 Sept 2019 Conference number: 19 https://www.ukci2019.port.ac.uk/ |
Publication series
Name | Advances in Computational Intelligence Systems |
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Publisher | Springer |
Volume | 1043 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Workshop
Workshop | 19th UK Workshop on Computational Intelligence |
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Abbreviated title | UKCI 2019 |
Country/Territory | United Kingdom |
City | Portsmouth |
Period | 4/09/19 → 5/09/19 |
Other | The UKCI 2019 covers both theory and applications in computational intelligence. The topics of interest include Fuzzy Systems Neural Networks Evolutionary Computation Evolving Systems Machine Learning Data Mining Cognitive Computing Intelligent Robotics Hybrid Methods Deep Learning Applications of Computational Intelligence |
Internet address |