Trustworthiness Modelling on Continuous Environmental Measurement

A4 Konferenspublikationer

Interna författare/redaktörer

Publikationens författare: Mats Neovius, Markus Stocker, Mauno Rönkkö, Luigia Petre
Redaktörer: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E.
Förläggare: International Congress on Environmental Modelling and Software
Publiceringsår: 2014
Förläggare: International congress on environmental modelling and software
Moderpublikationens namn: Proceedings of the 7th International Congress on Environmental Modelling and Software (iEMSs)
Volym: 2
Artikelns första sida, sidnummer: 955
Artikelns sista sida, sidnummer: 962
ISBN: 978-88-9035-744-2


In the domain of environmental sciences, measurement is the process that maps some observed phenomenon to a formal measurement value, the latter being the result of a measurement process. The measurement process relies on data representing physical quantities of possibly continuously changing phenomena. Because of the inherent imprecision of this source data and interpretations made within the measurement process itself, the measurement processes and their measurement values are plagued with quality issues. Many of these quality issues may be parameterised and provided as metadata of the measurement value, e.g. precision, resolution, trustworthiness. Of these, the trustworthiness quality parameter is evaluated by the consumer of the measurement value; this evaluation is a subjective perception of the level of momentary reliance
justifiably placed on the measurement value and possible quality parameters. Initially the level of trustworthiness is thus vacuous with the consumer’s trustworthiness building up by gained evidence in the provider in providing this type of a measurement value. In this paper we define a method for representing, calculating and monitoring the trustworthiness parameter placed on a provider providing
measurement values. The inherent imprecision of any measurement value is considered as a level of (un)certainty with a three-valued representation. The presented method is based on Dempster-Shafer theory of evidence and uses Subjective Logic to calculate with the trustworthiness. We apply techniques of reputation based trustworthiness for a meaningful reliability analysis in environmental sciences. We validate our method on data from the indoor environment of a residential house.


evidence, sensor data, trustworthiness, uncertainty

Senast uppdaterad 2020-08-04 vid 08:11