Abstract
The article deals with the estimation of information quality (IQ) in information and communication technologies (ICT) systems. A number of recent publications were analyzed, as well as ISO standards concerning quality and information quality. Due to the limitations of the known methods of estimating IQ, the authors present their own proprietary concept based on multidimensional and multi-layer modeling using methods of estimating uncertainty. The modeling proposed in this publication uses sixteen dimensions of quality known from the literature. The features of dimensions are taken into account as another layer and information states as successive steps in the IQ model. An example of calculations is also presented in which the mathematical evidence method used in estimating the uncertainty is extended to the modeling of dependent elements. The article also presents a simulation based on the presented example. This simulation shows the assumed dependencies between the output and input values.
Highlights
The model takes into account the features and dimensions of quality and information states, due to which the model enables a comprehensive description of the entire information and communication technologies (ICT) system
This article proposes a method for determining the quality of information (IQ) founded on a multidimensional model based on uncertainty modeling
The model takes into account the features and dimensions of quality and information states, thanks to which the model enables a comprehensive description of the entire ICT system
Summary
According to the definition given in [3,4], information is knowledge about objects, such as facts, events, things, processes, or ideas, including concepts that have special meaning in a specific context, and knowledge that reduces or removes the uncertainty about the occurrence of a specific event from a given set of possible events. Quality measure stand for a reinterpretable representation of information that is formalized in a manner suitable for communication, interpretation, or processing. This suggests that data are items offor information without a dimensionor attribute. For This example, the that detector suitable communication, interpretation, processing. The applied methods are modeling, presented as a set into of IQcategories dimensions and8000-8 in discrete or hierarchical modeling, based the calculation ofcategories dependentasand independent approach enabut alsoonwhen divided into in ISO. It is the limit of the provides the important information that excellence is not achievable It is the limit of the infinite quality improvement function.
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