The University of Southampton
University of Southampton Institutional Repository

The Representation of Fuzzy Algorithms

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.

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.

Full text not available from this repository.

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


Local EPrints ID: 250260
PURE UUID: 8da1002d-2a3e-4650-b74a-9332d2642933

Catalogue record

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

Export record


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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.