Fuzzy models for precision measurements

Reinhard Viertl

Mathematics and Computers in Simulation (MATCOM), 2008, vol. 79, issue 4, 874-878

Abstract: 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.

Keywords: Continuous quantities; Fuzzy models; Fuzzy Numbers; Measurement results (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:79:y:2008:i:4:p:874-878

DOI: 10.1016/j.matcom.2008.02.013

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