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Fuzzy Networks for Complex Systems

A Modular Rule Base Approach

  • Alexander Gegov

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 259)

Table of contents

  1. Front Matter
  2. Alexander Gegov
    Pages 1-3
  3. Alexander Gegov
    Pages 5-12
  4. Alexander Gegov
    Pages 13-21
  5. Alexander Gegov
    Pages 23-50
  6. Alexander Gegov
    Pages 51-108
  7. Alexander Gegov
    Pages 109-160
  8. Alexander Gegov
    Pages 161-200
  9. Alexander Gegov
    Pages 201-246
  10. Alexander Gegov
    Pages 247-274
  11. Alexander Gegov
    Pages 275-277
  12. Back Matter

About this book

Introduction

This book introduces the novel concept of a fuzzy network whose nodes are rule bases and the connections between the nodes are the interactions between the rule bases in the form of outputs fed as inputs. The concept is presented as a systematic study for improving the feasibility and transparency of fuzzy models by means of modular rule bases whereby the model accuracy and efficiency can be optimised in a flexible way. The study uses an effective approach for fuzzy rule based modelling of complex systems that are characterised by attributes such as nonlinearity, uncertainty, dimensionality and structure.The approach is illustrated by formal models for fuzzy networks, basic and advanced operations on network nodes, properties of operations, feedforward and feedback fuzzy networks as well as evaluation of fuzzy networks. The results are demonstrated by numerous examples, two case studies and software programmes within the Matlab environment that implement some of the theoretical methods from the book. The book shows the novel concept of a fuzzy network with networked rule bases as a bridge between the existing concepts of a standard fuzzy system with a single rule base and a hierarchical fuzzy system with multiple rule bases.

Keywords

Chained Fuzzy Systems Complex Systems Fuzzy Networks Fuzzy Systems Hierarchical Fuzzy Systems Rule Based Systems

Authors and affiliations

  • Alexander Gegov
    • 1
  1. 1.University of PortsmouthPortsmouthUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15600-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-15599-4
  • Online ISBN 978-3-642-15600-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site