Applying Measurement Theory and Information-based Measure in Modeling Physical Phenomena and Technological Processes



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Submitted Jan 17, 2018
Published Jan 29, 2018
10.24018/ejeng.2018.3.1.594

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In this paper, we compare the features of the application of the theory of measurements and the measure of the similarity of the model to the phenomenon under study on the basis of calculating the amount of information contained in the model. An experimental estimate compared with the standard model’s uncertainty calculation procedure shows that this measure is preferable to the traditional approach to calculating the threshold discrepancy. The article presents an algorithm that is used to calculate the minimum achievable uncertainty in the resolution of the model's fuzziness, as well as experimental results demonstrating its effectiveness. 
Keywords: Computational Modeling Information Theory Theory of Measurements Theory of Similarity

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