Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms : Theory and Applications
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms : Theory and Applications
edited by Oscar Castillo, Patricia Melin, Janusz Kacprzyk.
- First edition 2020.
- 1 recurso en línea (XIV, 792 páginas) 363 ilustraciones, 240 ilustraciones a color
- Studies in Computational Intelligence 862 1860-949X Intelligent Technologies and Robotics (Springer-42732) .
Part I: Type-1 and Type-2 Fuzzy Logic -- Parameter adaptation in the imperialist competitive algorithm using generalized type-2 fuzzy logic -- A Mamdani fuzzy inference protocol aimed to identify heterogeneity of the allometric response in arithmetical space -- Fireworks Algorithm (FWA) with adaptation of parameters using Interval Type-2 Fuzzy Logic System -- Omnidirectional Four Wheel Mobile Robot Control with a Type-2 Fuzzy Logic Behavior-based Strategy.
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience. .
9783030354459
10.1007/978-3-030-35445-9 doi
Lógica difusa
QA9.64 / 2020 EB
Part I: Type-1 and Type-2 Fuzzy Logic -- Parameter adaptation in the imperialist competitive algorithm using generalized type-2 fuzzy logic -- A Mamdani fuzzy inference protocol aimed to identify heterogeneity of the allometric response in arithmetical space -- Fireworks Algorithm (FWA) with adaptation of parameters using Interval Type-2 Fuzzy Logic System -- Omnidirectional Four Wheel Mobile Robot Control with a Type-2 Fuzzy Logic Behavior-based Strategy.
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience. .
9783030354459
10.1007/978-3-030-35445-9 doi
Lógica difusa
QA9.64 / 2020 EB