Fuzzy Logic in Intelligent System Design

Theory and Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Fuzzy Logic in Intelligent System Design by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319671376
Publisher: Springer International Publishing Publication: September 30, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319671376
Publisher: Springer International Publishing
Publication: September 30, 2017
Imprint: Springer
Language: English

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. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

More books from Springer International Publishing

Cover of the book Turkish Cultural Policies in a Global World by
Cover of the book Hybrid Artificial Intelligent Systems by
Cover of the book Media Governance in Korea 1980–2017 by
Cover of the book Advances in Respiratory Cancerogenesis by
Cover of the book Oaks Physiological Ecology. Exploring the Functional Diversity of Genus Quercus L. by
Cover of the book Serious Games, Interaction and Simulation by
Cover of the book Geoenergy Modeling III by
Cover of the book Managing Reputation in The Banking Industry by
Cover of the book Modeling, Dynamics, Optimization and Bioeconomics II by
Cover of the book Engineering Mineralized and Load Bearing Tissues by
Cover of the book Numerical PDE-Constrained Optimization by
Cover of the book Leadership in Islam by
Cover of the book Stochastic Analysis and Applications 2014 by
Cover of the book Geometrical Objects by
Cover of the book ACEi and ARBS in Hypertension and Heart Failure by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy