Introduction to Fuzzy Systems
β Guanrong Chen, Trung Tat Pham
π Library
π
2006
π CRC
π English
β¦ LIBER β¦
π
Introduction to fuzzy systems
β Scribed by Chen, Guanrong; Pham, Trung Tat
- Publisher
- Chapman & Hall/CRC
- Year
- 2006
- Tongue
- English
- Leaves
- 328
- Series
- Chapman & Hall/CRC applied mathematics and nonlinear science series
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy Read more...
Abstract: Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on th
β¦ Table of Contents
Content: 1. Fuzzy set theory --
2. Fuzzy logic theory --
3. Some applications of fuzzy logic --
4. Fuzzy rule base and fuzzy modeling --
5. Fuzzy control systems --
6. Fuzzy PID control systems --
7. Computational verb fuzzy controllers.
π SIMILAR VOLUMES
Introduction to Fuzzy Systems
β Guanrong Chen (Author); Trung Tat Pham (Author)
π Library
π
2005
π Chapman and Hall/CRC
<p>Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation i
Introduction to Neuro-Fuzzy Systems
β Prof. Robert FullΓ©r (auth.)
π Library
π
2000
π Physica-Verlag Heidelberg
π English
<p>Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic proΒ vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy lo
Introduction to Neuro-Fuzzy Systems
β Prof. Robert FullΓ©r (auth.)
π Library
π
2000
π Physica-Verlag Heidelberg
π English
<p>Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic proΒ vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy lo
Introduction to Fuzzy Sets, Fuzzy Logic,
β Chen G, Pham T
π Library
π
2000
π CRC Press
π English
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory an
Introduction to Fuzzy Sets, Fuzzy Logic,
β Guanrong Chen, Trung Tat Pham
π Library
π
2000
π CRC Press
π English
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory an