Uncertain Rule-Based Fuzzy Systems Introduction and New Directions, 2nd Edition /

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty - i.e., "type-2" fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applicat...

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Bibliographic Details
Main Author: Mendel, Jerry M. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:2nd ed. 2017.
Subjects:
Telecommunication.
Computational intelligence.
Artificial intelligence.
Neural networks (Computer science) .
Communications Engineering, Networks.
Computational Intelligence.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • Part 1: Type-1 Fuzzy Sets and Systems
  • Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic
  • Type-1 Fuzzy Logic Systems
  • Part 2: Type-2 Fuzzy Sets
  • Sources of Uncertainty
  • Type-2 Fuzzy Sets
  • Operations on and Properties OF Type-2 Fuzzy Sets
  • Type-2 Relations and Compositions
  • Centroid of a Type-2 Fuzzy Set: Type-Reduction
  • Part 3: Type-2 Fuzzy Logic Systems
  • Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS)
  • TSK Interval Type-2 Fuzzy Logic Systems
  • General Type-2 Fuzzy Logic Systems (GT2 FLSS)
  • Conclusion.

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