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A compositional method using an evolutionary alborithm for finding fuzzy rules in 3-layered hierarchical fuzzy structure

journal contribution
posted on 06.12.2017, 00:00 authored by J Zajaczkowski, Brijesh Verma
This paper presents a novel compositional method for finding fuzzy rules in a three-layered hierarchical fuzzy structure. The proposed method incorporates a multi-objective evolutionary algorithm and a large set of initial conditions, including dynamical conditions of the system under investigation. The proposed method is focused on handling the large set of initial conditions by a multi-objective evolutionary algorithm and it can be applied to a wide range of dynamical control systems in robotics. The method has been evaluated on a dynamical system such as the inverted pendulum. The experimental results and analysis showed that the proposed method is much better than the existing methods such as amalgamation and single objective evolutionary algorithm based methods.

History

Volume

8

Issue

4

Start Page

467

End Page

485

Number of Pages

19

ISSN

1469-0268

Location

Singapore

Publisher

Imperial College/World Scientific

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Arts, Business, Informatics and Education; Institute for Resource Industries and Sustainability (IRIS); Queensland Climate Change Centre of Excellence;

Era Eligible

Yes

Journal

International journal of computational intelligence and applications.