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E-grāmata: Fuzzy Logic: Recent Applications and Developments

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  • Formāts: PDF+DRM
  • Izdošanas datums: 04-May-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030664749
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Fuzzy Logic: Recent Applications and DevelopmentsPalielināt
  • Formāts: PDF+DRM
  • Izdošanas datums: 04-May-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • Valoda: eng
  • ISBN-13: 9783030664749
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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.

Recognising Handwritten Digits Using a Fuzzy Neural Network
Joshua Reynolds and Tianhua Chen

Fuzzy Assessment of Student Academic Performances
Shangen Yang and Tianhua Chen

A Hybrid Fuzzy Neural Network for Image Recognition
Samaresh Nayak and Tianhua Chen

A Fuzzy Diagnostic System for Heart Disease
Siyue Song, Tianhua Chen, and Grigoris Antoniou

Analysing Medical Notes using Fuzzy Logic
Siyue Song, Tianhua Chen, and Grigoris Antoniou

Fostering Positive Personalisation through Fuzzy Clustering
Raymond Moodley

Fuzzy Logic in Modern Information Retrieval
Steve Wade

Fuzzy Applied to Sentiment Analysis
Orestes Appel

Fuzzy Logic, a Logicians Perspective
Patrick Fogarty

Applications of Fuzzy Logic in an Automated Warehouse
Patrick Fogarty

Can Fuzzy Systems Assist with Project Planning?
Daniel Maia and Arjab Khuman

Fuzzy Logic in Autonomous Vehicles
David McDougall and Arjab Khuman

AI Spawning Fuzzy Logic Fuzzy Inference System
Reece Carey and Arjab Khuman

The Application of Fuzzy Logic on Intelligent Transportation Systems
Nath Lloyd and Arjab Khuman

Fuzzy Logic Applied to Water Processes
Will Chapman and Arjab Khuman

Applications of Fuzzy Logic in Autonomous Vehicles
Sam Asquith and Arjab Khuman

Predicting Cyber Threats using Fuzzy Logic
Jarrad Morden and Arjab Khuman

Implementations of Fuzzy Logic in Camera Systems
Sophie Hughes and Arjab Khuman

Application of a Fuzzy Logic Control System for Stock Market Prediction Based on Technical Indicators and Fundamental Analysis
Humza Nazir and Arjab Khuman

The Application of Fuzzy Logic in Determining Outcomes of Sporting Events
Spencer Deane and Arjab Khuman

Using Fuzzy Logic to Educate People on Phishing
Harry Taylor and Arjab Khuman

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 titles Transnational Higher Education in Computing Courses: Experiences and Reflections and Higher Education Computer Science: A Manual of Practical Approaches.







Dr. Tianhua Chen received his B.Sc. in software engineering from Fujian Normal University, China, in 2012 and the M.Sc. degree in intelligent systems in 2013 and the Ph.D. degree in computer science in 2017, both from Aberystwyth University, Aberystwyth, U.K. Dr. Chen is currently a Senior Lecturer in Artificial Intelligence with the Department of Computer Science, School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K. His research interests lie in the realm of machine learning, computational intelligence and their applications to healthcare intelligence. He has served as a Lead Guest Editor for the special issue on Medical Analytics for Healthcare Intelligence in the Artificial Intelligence in Medicine journal.







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. Associated to the Institute of Artificial Intelligence, with a focal interest in uncertainty modelling and computational intelligence
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