Readings in Fuzzy Sets for Intelligent Systems
eBook - PDF

Readings in Fuzzy Sets for Intelligent Systems

Didier J. Dubois,Henri Prade,Ronald R. Yager

  1. 928 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Readings in Fuzzy Sets for Intelligent Systems

Didier J. Dubois,Henri Prade,Ronald R. Yager

Book details
Table of contents
Citations

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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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
Citation styles for Readings in Fuzzy Sets for Intelligent Systems

APA 6 Citation

[author missing]. (2014). Readings in Fuzzy Sets for Intelligent Systems ([edition unavailable]). Elsevier Science. Retrieved from https://www.perlego.com/book/1875298/readings-in-fuzzy-sets-for-intelligent-systems-pdf (Original work published 2014)

Chicago Citation

[author missing]. (2014) 2014. Readings in Fuzzy Sets for Intelligent Systems. [Edition unavailable]. Elsevier Science. https://www.perlego.com/book/1875298/readings-in-fuzzy-sets-for-intelligent-systems-pdf.

Harvard Citation

[author missing] (2014) Readings in Fuzzy Sets for Intelligent Systems. [edition unavailable]. Elsevier Science. Available at: https://www.perlego.com/book/1875298/readings-in-fuzzy-sets-for-intelligent-systems-pdf (Accessed: 15 October 2022).

MLA 7 Citation

[author missing]. Readings in Fuzzy Sets for Intelligent Systems. [edition unavailable]. Elsevier Science, 2014. Web. 15 Oct. 2022.