A learner's guide to fuzzy logic systems / K. Sundareswaran.
This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets design and selec...
Saved in:
| Online Access: |
Full Text (via Taylor & Francis) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
CRC Press, Taylor & Francis Group,
[2020]
|
| Edition: | Second edition. |
| Series: | CRC focus series.
|
| Subjects: |
| Summary: | This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets design and selected applications. Preliminary concepts of Neural Networks and Genetic Algorithm are added features with relevant examples and exercises. It is primarily intended for undergraduate and postgraduate students and researchers to facilitate education in the ever-increasing field of fuzzy logic as medium between human intelligence and machine. |
|---|---|
| Physical Description: | 1 online resource (xvii, 107 pages) : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9780429287831 0429287836 9781000043990 1000043991 9781000034318 1000034313 9781000039153 1000039153 |
| Source of Description, Etc. Note: | Source of description: Print version record. |