Readings in Fuzzy Sets for Intelligent Systems
eBook - PDF

Readings in Fuzzy Sets for Intelligent Systems

  1. 929 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Readings in Fuzzy Sets for Intelligent Systems

About this book

Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.

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Information

Publisher
Morgan Kaufmann
Year
2014
Print ISBN
9781558602571
eBook ISBN
9781483214504
Topic
Computer Science
Subtopic
Artificial Intelligence (AI) & Semantics
Index
Computer Science

Table of contents

  1. Front Cover
  2. Readings in Fuzzy Sets for Intelligent Systems
  3. Copyright Page
  4. Table of Contents
  5. Acknowledgments
  6. Chapter 1. Introduction
  7. Chapter 2. Basic Notions in Fuzzy Set Theory
  8. Chapter 3. Uncertainty and Informativeness
  9. Chapter 4. Fuzzy Control
  10. Chapter 5. Approximate Reasoning
  11. Chapter 6. Information Processing
  12. Chapter 7. Decision and Management Sciences
  13. Chapter 8. Membership, Cognition, Neural Networks, and Learning
  14. Index

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Yes, you can access Readings in Fuzzy Sets for Intelligent Systems by Didier J. Dubois, Henri Prade, Ronald R. Yager, Didier J. Dubois,Henri Prade,Ronald R. Yager 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.