Fuzzy Intelligent Systems
eBook - PDF

Fuzzy Intelligent Systems

Methodologies, Techniques, and Applications

  1. 496 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

FUZZY INTELLIGENT SYSTEMS

A comprehensive guide to Expert Systems and Fuzzy Logic that is the backbone of artificial intelligence.

The objective in writing the book is to foster advancements in the field and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and those in education and research covering a broad cross section of technical disciplines.

Fuzzy Intelligent Systems: Methodologies, Techniques, and Applications comprises state-of-the-art chapters detailing how expert systems are built and how the fuzzy logic resembling human reasoning, powers them. Engineers, both current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the rapidly evolving field of applied control technologies. As a consequence, expert systems with fuzzy logic capabilities make for a more versatile and innovative handling of problems. This book showcases the combination of fuzzy logic and neural networks known as a neuro-fuzzy system, which results in a hybrid intelligent system by combining a human-like reasoning style of neural networks.

Audience

Researchers and students in computer science, Internet of Things, artificial intelligence, machine learning, big data analytics and information and communication technology-related fields. Students will gain a thorough understanding of fuzzy control systems theory by mastering its contents.

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Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. 1 Fuzzy Fractals in Cervical Cancer
  9. 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network
  10. 3 Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5—Part III
  11. 4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm
  12. 5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5
  13. 6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph J6 2,3,4, of Diameter 5
  14. 7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems
  15. 8 Using Fuzzy Technique Management of Configuration and Status of VM for Task Distribution in Cloud System
  16. 9 Theorems on Fuzzy Soft Metric Spaces
  17. 10 Synchronization of Time-Delay Chaotic System with Uncertainties in Terms of Takagi–Sugeno Fuzzy System
  18. 11 Trapezoidal Fuzzy Numbers (TrFN) and its Application in Solving Assignment Problems by Hungarian Method: A New Approach
  19. 12 The Connectedness of Fuzzy Graph and the Resolving Number of Fuzzy Digraph
  20. 13 A Note on Fuzzy Edge Magic Total Labeling Graphs
  21. 14 The Synchronization of Impulsive TimeDelay Chaotic Systems with Uncertainties in Terms of Takagi–Sugeno Fuzzy System
  22. 15 Theorems on Soft Fuzzy Metric Spaces by Using Control Function
  23. 16 On Soft a(γ,ß)-Continuous Functions in Soft Topological Spaces
  24. Index
  25. EULA

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Yes, you can access Fuzzy Intelligent Systems by E. Chandrasekaran, R. Anandan, G. Suseendran, S. Balamurugan, Hanaa Hachimi, E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.