A new partitioning approach for constructing fuzzy models


Ming, Feng and J., Harris C. (1999) A new partitioning approach for constructing fuzzy models. UNSPECIFIED 3rd World Multiconference on Systemics, Cybernetic and Informatics (SCI'99) and 5th International Conference on Information Systems Analysis and Synthesis (ISAS'99), CD-ROM.

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Description/Abstract

This paper presents a technique for constructing data based fuzzy model of a dynamical system by a new method of partitioning the data input space. The method is able to derive a fuzzy model from data automatically and completely avoids the curse of dimension problem usually associated with fuzzy system.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Organisation: 3rd World Multiconference on Systemics, Cybernetic and Informatics (SCI'99) and 5th International Conference on Information Systems Analysis and Synthesis (ISAS'99) Address: Orlando, Florida, USA
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
Item ID: 252907
Date Deposited: 12 Apr 2000
Last Modified: 01 Mar 2012 10:33
Contributors: Ming, Feng (Author)
J., Harris C. (Author)
Date: 1999
Additional Information: Organisation: 3rd World Multiconference on Systemics, Cybernetic and Informatics (SCI'99) and 5th International Conference on Information Systems Analysis and Synthesis (ISAS'99) Address: Orlando, Florida, USA
Status: Published
Publisher: 3rd World Multiconference on Systemics, Cybernetic and Informatics (SCI'99) and 5th International Conference on Information Systems Analysis and Synthesis (ISAS'99)
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/252907

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