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Position Papers of the 17th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 31

Prototypical investigation of the use of fuzzy measurement data in a case study in water analysis

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DOI: http://dx.doi.org/10.15439/2022F125

Citation: Position Papers of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 31, pages 27–33 ()

Full text

Abstract. A common problem when using real data is the fact that the values usually exhibit some degree of uncertainty. Measurement uncertainties therefore represent a major challenge when trying to interpret and draw conclusions from real data. This is especially true in on-site analysis in the environmental sector where the uncertainty in sample plays such a large role. An approach for the modelling and analysis of data for polluted water and the inclusion of measurement uncertainties is presented. This approach is based on fuzzy modelling, in which the uncertainty of the parameters is represented by so-called fuzzy numbers and thus reflect a possible blurred range of these parameter values. The result is a fuzzy pattern classifier, which allows a fuzzy and thus realistic characterization of unknown water samples. The procedure is exemplified using the extinction spectra taken using a UV/Vis spectrometer.

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