Written by two of the foremost researchers on fuzzy logic, it offers a thorough introduction to the field with complete coverage of both relevant theory and applications. This is a valuable teaching tool to introduce fuzzy logic.
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Written by two of the foremost researchers on fuzzy logic, it offers a thorough introduction to the field with complete coverage of both relevant theory and applications. This is a valuable teaching tool to introduce fuzzy logic.
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Awesome!,
This review is from: Essentials of Fuzzy Modeling and Control (Hardcover)
This is a fantastic book. Don't let its date of publication fool you, the stuff it covers has not changed. This book will provide you with an excellent foundation for future learning.
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Inside This Book
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First Sentence:
The concept of a fuzzy subset was originally introduced by L.A. Zadeh [1] as a generalization of the idea of an ordinary or crisp set. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
normalized operating characteristic, reference fuzzy sets, sliding control law, simplified reasoning method, developing fuzzy models, sliding mode control law, aggregating operator, consequent fuzzy sets, defuzzified value, defuzzification problem, individual rule outputs, mountain function, normalized universes, output inferred, antecedent fuzzy sets, mountain clustering method, joint possibility distribution, fuzzy systems model, dead zone parameters, fuzzy relational equations, defuzzification method, fuzzy subset, fuzzy levels, soft interpretation, mountain method Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, International Conference, International Journal of General Systems, San Diego, Information Sciences, International Journal of Man-Machine Studies, San Francisco, Technical Report, Academic Press, Englewood Cliffs, Iona College, Machine Intelligence Institute, North Holland, Boca Raton, Center of Area, New Rochelle, Prentice Hall, Mean of Maxima, Morgan Kaufmann, Plenum Press New!
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Front Cover | First Pages | Index | Back Cover | Surprise Me!
The concept of a fuzzy subset was originally introduced by L.A. Zadeh [1] as a generalization of the idea of an ordinary or crisp set. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
normalized operating characteristic, reference fuzzy sets, sliding control law, simplified reasoning method, developing fuzzy models, sliding mode control law, aggregating operator, consequent fuzzy sets, defuzzified value, defuzzification problem, individual rule outputs, mountain function, normalized universes, output inferred, antecedent fuzzy sets, mountain clustering method, joint possibility distribution, fuzzy systems model, dead zone parameters, fuzzy relational equations, defuzzification method, fuzzy subset, fuzzy levels, soft interpretation, mountain method Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, International Conference, International Journal of General Systems, San Diego, Information Sciences, International Journal of Man-Machine Studies, San Francisco, Technical Report, Academic Press, Englewood Cliffs, Iona College, Machine Intelligence Institute, North Holland, Boca Raton, Center of Area, New Rochelle, Prentice Hall, Mean of Maxima, Morgan Kaufmann, Plenum Press New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 28
books:
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72
books
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- Fuzzy Control and Fuzzy Systems (Control Theory and Applications, 3) (Electronic and Electrical Engineering Research Studies Control Theory and) by Pedrycz on page 153, page 200, and page 262
- Industrial Applications of Fuzzy Control by M. Sugeno in Front Matter, page 153, and page 354
- Fuzzy Sets and Systems: Theory and Applications (Mathematics in Science & Engineering) by Didier J. Dubois on page 27, and page 77
- System Identification Parameter and State Estimation by P. Eykhoff on page 202, and page 263
- Fuzzy Sets and Decision Analysis (TIMS studies in the management sciences) by Hans-Jurgen Zimmermann on page 153, and page 262
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- Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in Engineering by Hongxing Li on page 22, and page 180
- Heaven in a Chip: Fuzzy Visions of Society and Science in the Digital Age by Bart Kosko in Back Matter (1), and Back Matter (2)
- Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications (NATO ASI Series / Computer and Systems Sciences) by Okyay Kaynak on page 176, and Back Matter
- Soft Computing in Human-Related Sciences (International Series on Computational Intelligence) by Horia-Nicolai L Teodorescu on page 65, and page 91
- Intelligent Systems for Information Processing: From Representation to Applications by B. Bouchon-Meunier on page 181, and page 245
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