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We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine se...Lees meer
This book presents different experimental results as evidence of the good results obtained compared with respect to conventional approaches and litera...Lees meer
This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simul...Lees meer
We describe in this book, new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) con...Lees meer
Includes a brief introduction, where the intelligent techniques that are used, the main contribution, motivations, application, and a general descript...Lees meer
The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion co...Lees meer
This book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and re...Lees meer
This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simul...Lees meer
The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion co...Lees meer
This book provides two new optimization algorithms to address real optimization problems. Optimization is a fundamental concept in engineering and sci...Lees meer
This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques....Lees meer
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization...Lees meer
This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzz...Lees meer
Thisbook focuses on the fields of fuzzy logic, granular computing and alsoconsidering the control area. These areas can work together to solve various...Lees meer
This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstr...Lees meer
In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. ...Lees meer
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-lin...Lees meer
Proposes a methodology for parameter adaptation in meta-heuristic optimization methods Uses three different optimization methods: PSO (Particle Swarm ...Lees meer
This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simul...Lees meer
This book focuses on the fields of nature-inspired algorithms, optimization problems and fuzzy logic. In this book, a new metaheuristic based on Strin...Lees meer
This book presents the synthesis and analysis of fuzzy controllers and its application to a class of mechanical systems. It mainly focuses on the use ...Lees meer
This book deals with the stabilization issue of infinite dimensional dynamical systems both at the theoretical and applications levels. Systems theory...Lees meer
This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are cu...Lees meer
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and g...Lees meer