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...
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| Online Access: |
Full Text (via Taylor & Francis) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
CRC Press, Taylor & Francis Group,
[2020]
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| Edition: | Second edition. |
| Series: | CRC focus series.
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| Subjects: |
MARC
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| 245 | 1 | 2 | |a A learner's guide to fuzzy logic systems / |c K. Sundareswaran. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a New York, NY : |b CRC Press, Taylor & Francis Group, |c [2020] | |
| 264 | 4 | |c ©2020. | |
| 300 | |a 1 online resource (xvii, 107 pages) : |b illustrations. | ||
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| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 1. Unravelling uncertainty through simple examples -- 2. Fuzzy sets -- 3. Fuzzy reasoning -- 4. Design aspects of fuzzy systems and fuzzy logic applications. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Fuzzy logic. |0 http://id.loc.gov/authorities/subjects/sh93006704. | |
| 650 | 0 | |a Fuzzy systems. |0 http://id.loc.gov/authorities/subjects/sh85052628. | |
| 650 | 7 | |a Fuzzy logic. |2 fast |0 (OCoLC)fst00936807. | |
| 650 | 7 | |a Fuzzy systems. |2 fast |0 (OCoLC)fst00936814. | |
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