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A new partitioning approach for constructing fuzzy models

A new partitioning approach for constructing fuzzy models
A new partitioning approach for constructing fuzzy models
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.
CD-ROM
Ming, Feng
124509f7-e048-4ca7-8b3a-b710b4337478
J., Harris C.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Ming, Feng
124509f7-e048-4ca7-8b3a-b710b4337478
J., Harris C.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Ming, Feng and J., Harris C. (1999) A new partitioning approach for constructing fuzzy models. CD-ROM .

Record type: Conference or Workshop Item (Other)

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.

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More information

Published 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
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 252907
URI: http://eprints.soton.ac.uk/id/eprint/252907
PURE UUID: 90834055-a94d-4648-870c-62c0221ada57

Catalogue record

Date deposited: 12 Apr 2000
Last modified: 29 Jan 2020 15:14

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