Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications
Author:   Oscar Castillo ,  Patricia Melin ,  Janusz Kacprzyk
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   862
ISBN:  

9783030354442


Pages:   792
Publication Date:   28 February 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications


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Overview

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.

Full Product Details

Author:   Oscar Castillo ,  Patricia Melin ,  Janusz Kacprzyk
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   862
Weight:   1.370kg
ISBN:  

9783030354442


ISBN 10:   303035444
Pages:   792
Publication Date:   28 February 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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