Fuzzy Logic : Applications in Artificial Intelligence, Big Data, and Machine Learning /

This hands-on guide offers clear explanations of fuzzy logic along with practical uses and detailed examples. Written by an award-winning engineer and experienced author, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and skills...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Tsoukalas, Lefteri H. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, N.Y. : McGraw Hill LLC, [2024]
Edición:First edition.
Colección:McGraw-Hill's AccessEngineeringLibrary.
Temas:
Fuzzy logic.
Artificial intelligence.
Machine learning.
Big data.
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Dedication
  • Contents
  • Preface
  • Acknowledgments
  • 1 Language and Computation
  • References
  • 2 The Mathematics of Fuzzy Logic
  • 2.1 Notating Fuzzy Sets
  • 2.2 Fuzzy Set Operations
  • 2.3 Operations with Fuzzy Sets
  • 2.4 Alpha Cuts and Resolution
  • 2.5 The Extension Principle
  • References
  • 3 Many-to-Many Mappings in AI and ML
  • 3.1 Fuzzy Propositions and if/then Rules
  • 3.2 Fuzzy Relations
  • 3.3 Operators for Implications and Connectives
  • 3.4 Composition and the Compositional Rule of Inference
  • References
  • 4 Learning and Control
  • 4.1 Architecture of Fuzzy Rule Clusters
  • 4.2 Constructing a Rule-Based Controller and Interfacing It with Its Environment
  • 4.3 Defuzzification Methods
  • References
  • 5 Forecasting with Fuzzy Algorithms
  • 5.1 Forecasting
  • 5.2 Fuzzy Logic Forecasting
  • 5.3 Predicting Demand with a Probability Model
  • References
  • 6 Advanced Topics
  • 6.1 Fuzzy Logic and AI
  • 6.2 Fuzzy Control
  • 6.3 Neuro-Fuzzy Control
  • 6.4 Digital Twins and Transfer Learning
  • 6.5 Cybersecurity
  • 6.6 Transfer Learning for Trustworthy and Explainable AI
  • 6.7 Medical AI with Deontic and Fuzzy Logic
  • References
  • A Python Script for Example 4.1
  • B Fuzzy Algorithm for Predicting Power Demand in the Example of Chapter 5 (in Python)
  • C Review Questions
  • Homework Problems
  • Index.

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