Fuzzy Evolutionary Computation by Witold Pedrycz
The main theme of this text is to highlight a synergistic effect that is emerging between fuzzy sets and evolutionary computation. This quantifies the main advantage arising from the symbiosis. The scope of the book is broad, ranging from coverage of fundamental ideas in fuzzy sets and evolutionary computation, through inclusion of cutting-edge research, to case studies. The focus is on the applied side of fuzzy evolutionary calculations. Each contribution is systematic and thorough in its presentations, and emphasizes design of evolutionary schemes that embraces various sources of domain knowledge. The authors have also included problem sets at the end of each chapter which explore specific conceptual and algorithmic points covered in the text.-
Artificial Intelligence in Prescriptive Analytics
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Advances in Intelligent Data and Information Processing
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Advances in Information, Computing and Technology
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An Introduction to Computing with Fuzzy Sets
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Granular Computing
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Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems
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Recent Advancements in Multi-View Data Analytics
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Social Networks: A Framework of Computational Intelligence
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Computational Intelligence for Pattern Recognition
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Time Series Analysis, Modeling and Applications
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Fuzzy Modelling
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Computational Intelligence and Quantitative Software Engineering
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Computational Intelligence for Business Analytics
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Computational Intelligence in Telecommunications Networks
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Sentiment Analysis and Ontology Engineering
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Data Science and Big Data: An Environment of Computational Intelligence
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Knowledge-Based Clustering
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Information Granularity, Big Data, and Computational Intelligence
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Granular Computing and Decision-Making
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Deep Learning: Concepts and Architectures
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Development and Analysis of Deep Learning Architectures
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Interpretable Artificial Intelligence: A Perspective of Granular Computing
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Granular Computing and Intelligent Systems
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Deep Learning: Algorithms and Applications
Witold Pedrycz, Ph.D., is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland and King Abdulaziz University, Saudi Arabia. In 2009, Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. He is a Fellow of the Royal Society of Canada, the Institute of Electronic and Electrical Engineers (IEEE), International Fuzzy Systems Association (IFSA), International Society of Management Engineers, Engineers Canada, and The Engineering Institute of Canada. He is editor-in-chief of Information Sciences and editor-in-chief of IEEE Transactions on Systems, Man, and Cybernetics, Part A. He currently serves as an associate editor of IEEE Transactions on Fuzzy Systems and a number of other international journals. In 2007, he received the prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. Dr. Pedrycz is a recipient of the IEEE Canada Computer Engineering Medal. In 2009, he received a Cajastur Prize for Soft Computing from the European Centre for Soft Computing for pioneering and multifaceted contributions to granular computing. In 2013 he received a prestigious Killam Prize.
| SKU | Unavailable |
| ISBN 13 | 9780792399421 |
| ISBN 10 | 0792399420 |
| Title | Fuzzy Evolutionary Computation |
| Author | Witold Pedrycz |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Kluwer Academic Publishers |
| Year published | 1997-06-30 |
| Number of pages | 320 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |