Uncertain rule-based fuzzy systems : introduction and new directions
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 applica...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Edition | Second edition. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319513706 9783319513690 |
| Physical Description | 1 online resource (xxii, 684 pages) : illustrations (some color) |
Cover
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.