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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 applications from...

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Bibliographic Details
Main Author: Mendel, Jerry M.
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:2nd ed. 2017
Subjects:
Computational Intelligence
Artificial Intelligence
Mathematical Models Of Cognitive Processes And Neural Networks
Neural Networks (computer Science) 
Telecommunication
Communications Engineering, Networks
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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