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Applied type-3 fuzzy logic systems and controllers

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied type-3 fuzzy logic systems and controllersby Rasoul Sabetahd ... [et al.].
其他作者:	Sabetahd, Rasoul.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xiii, 258 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Fuzzy systems.
電子資源:	https://doi.org/10.1007/978-3-031-75988-8
ISBN:	9783031759888$q(electronic bk.)

Applied type-3 fuzzy logic systems and controllers
Applied type-3 fuzzy logic systems and controllers[electronic resource] /by Rasoul Sabetahd ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xiii, 258 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v. 4171860-0808 ;. - Studies in fuzziness and soft computing ;v.273..

Chapter 1. Theory and Application of a Novel Online Fractional-Order Learning Algorithm and an Interval Type-3 Fuzzy System -- Chapter 2. A Pragmatic Matlab Simulink and M-file for Robotic, Control, and Modelling Uses for an Applied Type-3 Fuzzy Logic System -- Chapter 3. Advancements and Applications In Modern Technology.

This book provides the fundamental approaches to designing and using type-3 fuzzy systems in real-world applications. Basic Matlab codes are provided to use type-3 fuzzy systems in a straightforward scheme. The main differences between type-3 fuzzy systems and other types are analyzed and compared. The effectiveness of type-3 fuzzy systems is analyzed and studied in various applications, such as robotics, intelligent control systems, and data science.

ISBN: 9783031759888$q(electronic bk.)

Standard No.: 10.1007/978-3-031-75988-8doiSubjects--Topical Terms:

182084
Fuzzy systems.

LC Class. No.: QA402

Dewey Class. No.: 511.313

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520 $a This book provides the fundamental approaches to designing and using type-3 fuzzy systems in real-world applications. Basic Matlab codes are provided to use type-3 fuzzy systems in a straightforward scheme. The main differences between type-3 fuzzy systems and other types are analyzed and compared. The effectiveness of type-3 fuzzy systems is analyzed and studied in various applications, such as robotics, intelligent control systems, and data science.
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