Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Castillo, Oscar (Editor)/ Melin, Patricia (Editor)/ Kacprzyk, Janusz (Editor)

ISBN 10: 303035444X / ISBN 13: 9783030354442

Edité par Springer Verlag, 2020

A propos de cet article

806 pages. 9.25x6.10x1.69 inches. In Stock.

N° de réf. du vendeur x-303035444X

Détails bibliographiques

• Titre: Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications
• Éditeur: Springer Verlag
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 303035444X
• ISBN à 13 chiffres: 9783030354442
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.