Fuzzy Networks for Complex Systems

A Modular Rule Base Approach

By:

Alexander Gegov

Format:

Hardback

Series:

Studies in Fuzziness and Soft Computing

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Description

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.

Release date Australia

October 4th, 2010

Author

Alexander Gegov

Audience

Professional & Vocational

Illustrations

8 Illustrations, color; 289 Illustrations, black and white; XIV, 290 p. 297 illus., 8 illus. in color.

Pages

290

Series

Studies in Fuzziness and Soft Computing

Dimensions

155x235x22

ISBN-13

9783642155994

Product ID

8443123

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