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

  1. Hartley, J.K., Parallel Algorithm for Fuzzy Data Processing with Application to Water Systems , PhD Thesis, The Nottingham Trent University, 1996.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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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