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The Representation of Fuzzy Algorithms

Record type: Conference or Workshop Item (Other)

This paper will compare two apparently different approaches for representing fuzzy algorithms: discrete and continuous. Traditionally, fuzzy algorithms have been implemented using a discrete approach where the fuzzy sets that form the rule base are defined at a set of discrete points. However, continuous fuzzy systems have recently gained in popularity, partly due to their links with certain classes of neural networks, but also because they generally require a smaller number of parameters and have a reduced computational cost. The paper will discuss the role of the fuzzy sets and the fuzzy operators and arguments are made for adopting continuous rather than discrete membership functions and algebraic rather than truncation operators. It is also shown that using algebraic operators in conjunction with a centre of gravity defuzzification strategy reduces fuzzy composition and defuzzification to a single operation and this allows the effect of different fuzzy input representations to be investigated.

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Citation

Brown, M., Mills, D.J. and Harris, C.J. (1994) The Representation of Fuzzy Algorithms At Int. Symp. on Signal Processing, Robotics And Neural Networks. , 386--390.

More information

Published date: 1994
Additional Information: Organisation: IMACS Address: Lille, Fr
Venue - Dates: Int. Symp. on Signal Processing, Robotics And Neural Networks, 1994-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250260
URI: http://eprints.soton.ac.uk/id/eprint/250260
PURE UUID: 8da1002d-2a3e-4650-b74a-9332d2642933

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

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Contributors

Author: M. Brown
Author: D.J. Mills
Author: C.J. Harris

University divisions


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