Fuzzy models for precision measurements

Engineering and scientific measurement results of continuous quantities are not precise numbers but more or less non-precise. Therefore so-called non-precise numbers are necessary to describe measurement results. Non-precise numbers are special fuzzy subsets of the set of real numbers. For vector quantities so-called fuzzy vectors are the best up to date model for measurement results of continuous vector quantities.

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Year of publication:	2008
Authors:	Viertl, Reinhard
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 79.2008, 4, p. 874-878
Publisher:	Elsevier
Subject:	Continuous quantities \| Fuzzy models \| Fuzzy Numbers \| Measurement results

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

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