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Fuzzy intelligent systems : methodologies, techniques, and applications /
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 fuz...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Beverly, MA : Hoboken, NJ :
Scrivener Publishing ; Wiley,
2021.
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| Colección: | Artificial intelligence and soft computing for industrial transformation.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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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| Notas: | 13.10 Application of Fuzzy Edge Magic Total Labeling. |
| Descripción Física: | 1 online resource (431 pages) |
| Bibliografía: | References-4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm-4.1 Introduction-4.2 Multiple Criteria That is Used for Decision Making (MCDM)-4.3 Conclusion-References-5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5-5.1 Introduction-5.2 Main Result-5.3 Conclusion-References-6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5-6.1 Introduction-6.2 Main Result-6.3 Conclusion-References-7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems. References-12 The Connectedness of Fuzzy Graph and the Resolving Number of Fuzzy Digraph-12.1 Introduction-12.2 Definitions-12.3 An Algorithm to Find the Super Resolving Matrix-12.4 An Application of the Connectedness of the Modified Fuzzy Graph in Rescuing Human Life From Fire Accident-12.5 Resolving Number Fuzzy Graph and Fuzzy Digraph-12.6 Conclusion-References-13 A Note on Fuzzy Edge Magic Total Labeling Graphs-13.1 Introduction-13.2 Preliminaries-13.3 Theorem-13.4 Theorem-13.5 Theorem-13.6 Theorem-13.7 Theorem-13.8 Theorem-13.9 Theorem. Includes bibliographical references and index. |
| ISBN: | 9781119763437 1119763436 111976341X 9781119763413 |