Fuzzy Logic and Intelligent Systems, Hua Harry Li; Madan M. Gupta

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Ernest Czogala; Jacek Leski
Название: Fuzzy and Neuro-Fuzzy Intelligent Systems
ISBN: 3662003899 ISBN-13(EAN): 9783662003893
Издательство: Springer
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Цена: 46570.00 T
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Автор: Oscar Castillo
Название: Type-2 Fuzzy Logic in Intelligent Control Applications
ISBN: 3642270158 ISBN-13(EAN): 9783642270154
Издательство: Springer
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Цена: 104480.00 T
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Описание: Hybrid intelligent systems combine intelligent computing paradigms including fuzzy logic and bio-inspired optimization algorithms to produce powerful automatic control systems. This volume explains several important control applications of Type-2 fuzzy logic.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk; M
Название: Fuzzy Logic in Intelligent System Design
ISBN: 3319671367 ISBN-13(EAN): 9783319671369
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331936961X ISBN-13(EAN): 9783319369617
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Zeungnam Bien; K.C. Min
Название: Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems
ISBN: 9401065438 ISBN-13(EAN): 9789401065436
Издательство: Springer
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Цена: 81050.00 T
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Описание: Fuzzy Logic and its Applications... covers a wide range of the theory and applications of fuzzy logic and related systems, including industrial applications of fuzzy technology, implementing human intelligence in machines and systems.

Автор: Ronald R. Yager; Lotfi A. Zadeh
Название: An Introduction to Fuzzy Logic Applications in Intelligent Systems
ISBN: 1461366194 ISBN-13(EAN): 9781461366195
Издательство: Springer
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Цена: 186330.00 T
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Описание: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook.

Автор: Kacprzyk
Название: Granular, Soft and Fuzzy Approaches for Intelligent Systems
ISBN: 3319403125 ISBN-13(EAN): 9783319403120
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors’ appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.

Автор: Trevor Martin; Anca L. Ralescu
Название: Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems
ISBN: 3540624740 ISBN-13(EAN): 9783540624745
Издательство: Springer
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Цена: 65210.00 T
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Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.

Автор: Hua Harry Li; Madan M. Gupta
Название: Fuzzy Logic and Intelligent Systems
ISBN: 0792395751 ISBN-13(EAN): 9780792395751
Издательство: Springer
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Цена: 213360.00 T
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Описание: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems.