This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with the help of fuzzy logic. On the one hand, knowledge that is understandable to human beings can be extracted from data using evolutionary and learning methods by maintaining the interpretability of the generated fuzzy rules. On the other hand, a priori knowledge like expert knowledge and human preferences can be incorporated into evolution and learning, taking advantage of the knowledge representation capability of fuzzy rule systems and fuzzy preference models. Several engineering application examples in the fields of intelligent vehicle systems, process modeling and control and robotics are presented.
Advanced Fuzzy Systems Design and Applications
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First Sentence:
A set is a collection of finite or infinite number of objects, which are called elements or members of the set. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
interpretable fuzzy rules, fuzzy mapping rules, regularized learning, original fitness function, neurofuzzy model, extracted fuzzy rules, fuzzy rule system, fuzzy preference relations, fuzzy similarity measure, two fuzzy rules, fuzzy systems design, neurofuzzy systems, fuzzy rule generation, fuzzy partition, fuzzy preferences, fitness space, fuzzy composition, knowledge incorporation, fuzzy subsets, fuzzy intersection, using evolutionary algorithms, weight sharing, extracted rules, linear subsystems, preference matrix Key Phrases - Capitalized Phrases (CAPs): (learn more)
Fuzzy Inference Based Method, Basics of Fuzzy Sets, Conventional Data-driven Fuzzy Systems Design New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
A set is a collection of finite or infinite number of objects, which are called elements or members of the set. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
interpretable fuzzy rules, fuzzy mapping rules, regularized learning, original fitness function, neurofuzzy model, extracted fuzzy rules, fuzzy rule system, fuzzy preference relations, fuzzy similarity measure, two fuzzy rules, fuzzy systems design, neurofuzzy systems, fuzzy rule generation, fuzzy partition, fuzzy preferences, fitness space, fuzzy composition, knowledge incorporation, fuzzy subsets, fuzzy intersection, using evolutionary algorithms, weight sharing, extracted rules, linear subsystems, preference matrix Key Phrases - Capitalized Phrases (CAPs): (learn more)
Fuzzy Inference Based Method, Basics of Fuzzy Sets, Conventional Data-driven Fuzzy Systems Design New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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This book cites 45
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13
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- Evolutionary Computation by Kenneth A. de De Jong in Back Matter (1), and Back Matter (2)
- Decision Making by Mescon Group on page 45, and page 226
- Genetic Algorithms and Soft Computing (Studies in Fuzziness and Soft Computing) by Francisco Herrera in Back Matter (1), and Back Matter (2)
- Problem Solving (Teacher Timesavers) by Jill Bennett in Back Matter (1), and Back Matter (2)
- Self-Organizing Maps by Teuvo Kohonen in Back Matter
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- Computational Intelligence, Theory and Applications: International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004 Proceedings (Advances in Soft Computing) by Bernd Reusch on page 665
- Entropy Measures, Maximum Entropy Principle and Emerging Applications (Studies in Fuzziness and Soft Computing) by Karmeshu in Front Matter
- Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing) by James J. Buckley in Front Matter
- Rough Set Theory and Granular Computing (Studies in Fuzziness and Soft Computing) by Masahiro Inuiguchi in Front Matter
- Information Fusion in Data Mining (Studies in Fuzziness and Soft Computing) by Vicenc Torra in Front Matter
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