Parallel Algorithms for Fuzzy Data Processing
Jo Hartley
The research involves the development of parallel algorithms, for the
processing of fuzzy data and quantification of the
confidence limits of the results, and the development of a parallel programming
metalanguage for the efficient implementation of such algorithms. The parallel
structure of these algorithms will enable modular augmentation of the processing
hardware (transputer network) in line with the increase of the size of the simulated
systems. The algorithms are tested in the context of operational decision
support of a water distribution system.
The individual developments include:
which each contribute towards the development of
Publications
- Hartley, J.K., Parallel Algorithm for Fuzzy Data
Processing with Application to Water Systems , PhD Thesis,
The Nottingham Trent University, 1996.
- Bargiela A., Hartley J.K.,
Orthogonal Linear Regression
Algorithm Based on Augmented Matrix Formulation, Computers
and Operations Research, Vol 20, No 8, November 1993,
pp. 829-836.
- J Hartley, A Bargiela,
Utilisation of Smoothing Formulae for Describing
Hydraulic Relationships in Water Networks,
in Integrated Computer Applications, Vol 1,
(Ed.) B Coulbeck, J Wiley, 1993, ISBN: 0 471 94232 4, pp 35-48.
- Hartley J., Bargiela A., Cant R.,
Parallel simulation of large scale water distribution systems,
Proceedings of Modelling and Simulation Conference ESM'95, Prague,
Eds. M Snorek, M Sujansky, A Verbraeck, June 1995,
ISBN 1-56555-080-3, pp. 723-727.
- Hartley J.K., Bargiela A.,
TPML: Parallel meta-language for scientific and engineering computations
using transputers (TPML), Proceedings of 2nd Int.
Conf. on Software for Supercomputers and Multiprocessors, SMS'94,
Moscow, 1994, pp 22-31.
- J Hartley, A Bargiela,
An X11 Industry Standard
Implementation of the Telemetry Confidence Limit Analysis,
poster presentation, Int. Conf. on Integrated Computer
Applications, Leicester, 1993.
Copyright (c) 1996 RTTS
Last update: 20/06/96
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