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Multi-agent approach for visualisation of fuzzy systems

Pham, Binh L. & Brown, Ross A. (2003) Multi-agent approach for visualisation of fuzzy systems. Lecture Notes in Computer Science : Computational Science — ICCS 2003, 2659, pp. 995-1004.

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Abstract

Complex fuzzy systems exist in many applications and effective visualisation is required to gain insights in the nature and working of these systems, especially in the implication of impreciseness, its propagation and impacts on the quality and reliability of the outcomes. This paper presents a design of a visualisation system based on multi-agent approach with the aim to facilitate the organisation and flow of complex tasks, their inter-relationships and their interactions with users. This design extends our previous work on the analysis of the fundamental ontologies which underpin the structure and requirements of fuzzy systems.

Impact and interest:

2 citations in Scopus
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2 citations in Web of Science®

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208 since deposited on 28 Oct 2005
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ID Code: 450
Item Type: Journal Article
Additional Information: Paper presented in "International Conference on Computation Science (ICCS 2003), 2-4 June 2003, Melbourne, VIC."
Additional URLs:
DOI: 10.1007/3-540-44863-2_98
ISBN: 9783540401964
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2003 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com
Deposited On: 28 Oct 2005
Last Modified: 20 Oct 2013 02:05

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