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Fuzzy Models in Evaluation of Information Uncertainty in Engineering and Technology Applications

Reznik, Leon & Pham, Binh L. (2001) Fuzzy Models in Evaluation of Information Uncertainty in Engineering and Technology Applications. In 10th IEEE International Conference on Fuzzy Systems, 2-5 December 2001, Melbourne, Austraila.

Abstract

The paper studies the problem of information uncertainty evaluation in modern engineering and technology applications and especially system design. It analyses virtual environment design and engineering measurement systems. Information typical for those applications is classified according to its uncertainty types. Uncertainty sources are identified. Fuzzy theory models are proposed. Examples of their applications in characteristic problems are given.

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ID Code: 2044
Item Type: Conference Paper
Additional URLs:
Keywords: Information uncertainty, measurement, virtual environment Technical area, T3
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)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2001 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 22 Sep 2005
Last Modified: 09 Jun 2010 22:27

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