Multi-agent approach for visualisation of fuzzy systems
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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|Item Type:||Journal Article|
|Additional Information:||Paper presented in "International Conference on Computation Science (ICCS 2003), 2-4 June 2003, Melbourne, VIC."|
|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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