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Innovative Issues in Intelligent Systems

  • Book
  • © 2016

Overview

Editors:
  1. Vassil Sgurev

    1. Inst of Info & Commu Tech, Bulgarian Academy of Sciences, Sofia, Bulgaria

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  2. Ronald R. Yager

    1. Iona College, Machine Intelligence Institute, New Rochelle, USA

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  3. Janusz Kacprzyk

    1. Sys Res Intit of Polish Acad of Science, Intelligent Systems Laboratory, Warsaw, Poland

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  4. Vladimir Jotsov

    1. and Information Technologies, University of Library Studies, Sofia, Bulgaria

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  • Presents a wide interdisciplinary spectrum of applications of intelligent systems
  • Recent research of intelligent systems
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 623)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Intelligent Systems in Industry

    • Arthur Kordon
    Pages 1-31

  3. Prediction of the Attention Area in Ambient Intelligence Tasks

    • Jawad Shafi, Plamen Angelov, Muhammad Umair
    Pages 33-56

  4. Integration of Knowledge Components in Hybrid Intelligent Control Systems

    • M.B. Hadjiski, V.G. Boishina
    Pages 57-109

  5. Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories

    • Georgi M. Dimirovski
    Pages 111-139

  6. Logical Operations and Inference in the Complex s-Logic

    • Vassil Sgurev
    Pages 141-160

  7. Generalized Nets as a Tool for the Modelling of Data Mining Processes

    • Krassimir Atanassov
    Pages 161-215

  8. Induction of Modular Classification Rules by Information Entropy Based Rule Generation

    • Han Liu, Alexander Gegov
    Pages 217-230

  9. Proposals for Knowledge Driven and Data Driven Applications in Security Systems

    • Vladimir S. Jotsov
    Pages 231-293

  10. On Some Modal Type Intuitionistic Fuzzy Operators

    • Krassimir T. Atanassov, Janusz Kacprzyk
    Pages 295-304

  11. Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design

    • Vesna Ojleska, Tatjana Kolemishevska-Gugulovska, Imre J. Rudas
    Pages 305-323

  12. Multistep Modeling for Approximation and Classification by Use of RBF Network Models

    • Gancho Vachkov
    Pages 325-353
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Keywords

About this book

This book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation “thinking machines” as well as for other futuristic logical applications that are rapidly changing our world nowadays.

Editors and Affiliations

  • Inst of Info & Commu Tech, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Vassil Sgurev

  • Iona College, Machine Intelligence Institute, New Rochelle, USA

    Ronald R. Yager

  • Sys Res Intit of Polish Acad of Science, Intelligent Systems Laboratory, Warsaw, Poland

    Janusz Kacprzyk

  • and Information Technologies, University of Library Studies, Sofia, Bulgaria

    Vladimir Jotsov

Bibliographic Information

  • Book Title: Innovative Issues in Intelligent Systems

  • Editors: Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-27267-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-27266-5Published: 16 February 2016

  • Softcover ISBN: 978-3-319-80104-9Published: 30 March 2018

  • eBook ISBN: 978-3-319-27267-2Published: 05 February 2016

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 353

  • Number of Illustrations: 103 b/w illustrations, 65 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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