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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...Savoir plus
This book presents different experimental results as evidence of the good results obtained compared with respect to conventional approaches and litera...Savoir plus
This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simul...Savoir plus
This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the u...Savoir plus
This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This b...Savoir plus
The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion co...Savoir plus
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...Savoir plus
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...Savoir plus
This book provides two new optimization algorithms to address real optimization problems. Optimization is a fundamental concept in engineering and sci...Savoir plus
The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion co...Savoir plus
This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques....Savoir plus
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization...Savoir plus
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...Savoir plus
Thisbook focuses on the fields of fuzzy logic, granular computing and alsoconsidering the control area. These areas can work together to solve various...Savoir plus
This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstr...Savoir plus
In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. ...Savoir plus
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-lin...Savoir plus
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics ...Savoir plus
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...Savoir plus
This book focuses on the fields of nature-inspired algorithms, optimization problems and fuzzy logic. In this book, a new metaheuristic based on Strin...Savoir plus
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 ...Savoir plus
This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are cu...Savoir plus
This book deals with the stabilization issue of infinite dimensional dynamical systems both at the theoretical and applications levels. Systems theory...Savoir plus
Introduction to Pattern Recognition with Intelligent Systems.- Type-1 Fuzzy Logic.- Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic.- Supervised Neu...Savoir plus