JUCS - Journal of Universal Computer Science 4(1): 82-88, doi: 10.3217/jucs-004-01-0082
Modelling the Measurement Uncertainty by Intervals
Fabiana Zamora Wilke‡, Beatriz Regina Tavaresg Franciosi§, Paulo Werlang Werlang Oliveira|, Dalcidio Moraes Claudio|‡ Instituto de Informática - UFRGS, Brazil§ Instituto de Informática - UFRGS/PUCRS, Brazil| Instituto de Informática - PUCRS, Brazil
Corresponding author: Fabiana Wilke ( zamora@inf.ufrgs.br ) © Fabiana Wilke, Beatriz Regina Tavaresg Franciosi, Paulo Werlang Werlang Oliveira, Dalcidio Claudio. This article is freely available under the J.UCS Open Content License. Citation:
Wilke FZ, Franciosi BRT, Oliveira PWW, Claudio DM (1998) Modelling the Measurement Uncertainty by Intervals. JUCS - Journal of Universal Computer Science 4(1): 82-88. https://doi.org/10.3217/jucs-004-01-0082 |  |
Abstract
This paper presents a proposal of measuring uncertain modelling referred to a geometrical model obtained from a Coordinate Measuring Machine (CMM). The measurement of objects by CMM is achieved considering a particular region of measurement described through a set of finitely many points which defines the ideal reference mesh and it is exposed to, at least, three kinds of error: systematical, aleatory and rounding error. For each point of this mesh is associated the measure error bounds. Those ones have two components: error direction, and error numerical value. The measure error bound identification, as showed in this paper, makes possible to know about the best region to measure a specific object with smallest error bound.
Keywords
mathematical modelling, interval computing, measure uncertainty, co-ordinate measure machine