Multi Agent Approach for Visualisation of Fuzzy Systems

& (2003) Multi Agent Approach for Visualisation of Fuzzy Systems. In Sloot, P, Zomaya, A Y, Abramson, D, Bogdanov, A V, & Dongarra, J J (Eds.) Proceedings Part III, Computational Science - ICCS 2003. Springer, Germany, Berlin, pp. 995-1004.

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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.

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9 citations in Scopus
4 citations in Web of Science®
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ID Code: 450
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Brown, Rossorcid.org/0000-0003-0813-7741
Measurements or Duration: 10 pages
DOI: 10.1007/3-540-44863-2_98
ISBN: 3-540-40196-2
Pure ID: 34085436
Divisions: ?? 16 ??
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Research Centres > Australian Research Centre for Aerospace Automation
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 28 Oct 2005 00:00
Last Modified: 05 Mar 2024 20:12