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Innovative Issues in Intelligent Systems

Overview of attention for book
Cover of 'Innovative Issues in Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Systems in Industry
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    Chapter 2 Prediction of the Attention Area in Ambient Intelligence Tasks
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    Chapter 3 Integration of Knowledge Components in Hybrid Intelligent Control Systems
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    Chapter 4 Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories
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    Chapter 5 Logical Operations and Inference in the Complex s-Logic
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    Chapter 6 Generalized Nets as a Tool for the Modelling of Data Mining Processes
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    Chapter 7 Induction of Modular Classification Rules by Information Entropy Based Rule Generation
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    Chapter 8 Proposals for Knowledge Driven and Data Driven Applications in Security Systems
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    Chapter 9 On Some Modal Type Intuitionistic Fuzzy Operators
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    Chapter 10 Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design
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    Chapter 11 Multistep Modeling for Approximation and Classification by Use of RBF Network Models
Attention for Chapter 10: Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design
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Citations

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Chapter title
Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design
Chapter number 10
Book title
Innovative Issues in Intelligent Systems
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-27267-2_10
Book ISBNs
978-3-31-927266-5, 978-3-31-927267-2
Authors

Vesna Ojleska, Tatjana Kolemishevska-Gugulovska, Imre J. Rudas

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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