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Intuitionistic and type-2 fuzzy logi...
~
Castillo, Oscar.
Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithmstheory and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithmsedited by Oscar Castillo, Patricia Melin, Janusz Kacprzyk.
Reminder of title:
theory and applications /
other author:
Castillo, Oscar.
Published:
Cham :Springer International Publishing :2020.
Description:
xiv, 792 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Fuzzy logic.
Online resource:
https://doi.org/10.1007/978-3-030-35445-9
ISBN:
9783030354459$q(electronic bk.)
Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithmstheory and applications /
Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithms
theory and applications /[electronic resource] :edited by Oscar Castillo, Patricia Melin, Janusz Kacprzyk. - Cham :Springer International Publishing :2020. - xiv, 792 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8621860-949X ;. - Studies in computational intelligence ;v. 216..
Part I: Type-1 and Type-2 Fuzzy Logic -- Parameter adaptation in the imperialist competitive algorithm using generalized type-2 fuzzy logic -- A Mamdani fuzzy inference protocol aimed to identify heterogeneity of the allometric response in arithmetical space -- Fireworks Algorithm (FWA) with adaptation of parameters using Interval Type-2 Fuzzy Logic System -- Omnidirectional Four Wheel Mobile Robot Control with a Type-2 Fuzzy Logic Behavior-based Strategy.
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.
ISBN: 9783030354459$q(electronic bk.)
Standard No.: 10.1007/978-3-030-35445-9doiSubjects--Topical Terms:
181981
Fuzzy logic.
LC Class. No.: QA9.64 / .I588 2020
Dewey Class. No.: 511.313
Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithmstheory and applications /
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edited by Oscar Castillo, Patricia Melin, Janusz Kacprzyk.
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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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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.
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Intelligent Technologies and Robotics (Springer-42732)
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EB QA9.64 .I61 2020 2020
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https://doi.org/10.1007/978-3-030-35445-9
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