Fuzzy logic : recent applications and developments / Jenny Carter, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen, editors.
Carter, Jenny (Senior lecturer in computer science), editor.; Chiclana, Francisco, editor.; Khuman, Arjab Singh, editor.; Chen, Tianhua.
2021
QA9.64
Available Online

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Title Fuzzy logic : recent applications and developments / Jenny Carter, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen, editors.
ISBN 9783030664749 (electronic bk.)
3030664740 (electronic bk.)
9783030664732
3030664732
DOI https://doi.org/10.1007/978-3-030-66474-9
Publication Details Cham : Springer, 2021.
Language English
Description 1 online resource (268 pages)
Item Number 10.1007/978-3-030-66474-9 doi
Call Number QA9.64
Dewey Decimal Classification 511.3/13
Summary Since its inception, fuzzy logic has attracted an incredible amount of interest, and this interest continues to grow at an exponential rate. As such, scientists, researchers, educators and practitioners of fuzzy logic continue to expand on the applicability of what and how fuzzy can be utilised in the real-world. In this book, the authors present key application areas where fuzzy has had significant success. The chapters cover a plethora of application domains, proving credence to the versatility and robustness of a fuzzy approach. A better understanding of fuzzy will ultimately allow for a better appreciation of fuzzy. This book provides the reader with a varied range of examples to illustrate what fuzzy logic can be capable of and how it can be applied. The text will be ideal for individuals new to the notion of fuzzy, as well as for early career academics who wish to further expand on their knowledge of fuzzy applications. The book is also suitable as a supporting text for advanced undergraduate and graduate-level modules on fuzzy logic, soft computing, and applications of AI. Dr. Jenny Carter is a Senior Lecturer in the Department of Computer Science at the University of Huddersfield, UK. Her other publications include the Springer books, Transnational Higher Education in Computing Courses, and Higher Education Computer Science. Dr. Tianhua Chen is a Senior Lecturer in Artificial Intelligence with the Department of Computer Science at the University of Huddersfield. Dr. Francisco Chiclana is a Professor of Computational Intelligence and Decision Making in the School of Computer Science and Informatics at De Montfort University, Leicester, UK. Dr. Arjab Singh Khuman is a Senior Lecturer and Researcher at the same institution.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 18, 2021).
Added Author Carter, Jenny (Senior lecturer in computer science), editor.
Chiclana, Francisco, editor.
Khuman, Arjab Singh, editor.
Chen, Tianhua.
Available in Other Form Fuzzy Logic.
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Chapter 1. Recognising Handwritten Digits Using a Fuzzy Neural Network
Chapter 2. Fuzzy Assessment of Student Academic Performances
Chapter 3. A Hybrid Fuzzy Neural Network for Image Recognition
Chapter 4. A Fuzzy Diagnostic System for Heart Disease
Chapter 5. Analysing Medical Notes using Fuzzy Logic
Chapter 6. Fostering Positive Personalisation through Fuzzy Clustering
Chapter 7. Fuzzy Logic in Modern Information Retrieval
Chapter 8. Fuzzy Applied to Sentiment Analysis
Chapter 9. Fuzzy Logic, a Logicians Perspective
Chapter 10. Applications of Fuzzy Logic in an Automated Warehouse
Chapter 11. Can Fuzzy Systems Assist with Project Planning?
Chapter 12. Fuzzy Logic in Autonomous Vehicles
Chapter 13. AI Spawning Fuzzy Logic Fuzzy Inference System
Chapter 14. The Application of Fuzzy Logic on Intelligent Transportation Systems
Chapter 15. Fuzzy Logic Applied to Water Processes
Chapter 16. Applications of Fuzzy Logic in Autonomous Vehicles
Chapter 17. Predicting Cyber Threats using Fuzzy Logic
Chapter 18. Implementations of Fuzzy Logic in Camera Systems
Chapter 19. Application of a Fuzzy Logic Control System for Stock Market Prediction Based on Technical Indicators and Fundamental Analysis
Chapter 20. The Application of Fuzzy Logic in Determining Outcomes of Sporting Events
Chapter 21. Using Fuzzy Logic to Educate People on Phishing.

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