Design of Experiments as a Prerequisite for Development of Fuzzy Models?

Design of experiments is an approach where the experiments for measurement acquisition should be planned very carefully in order to obtain high-informative data. This paper tackles a problem of constructing mathematical models of complex nonlinear problems based on measurement data of poor information content. Two practical examples are dealt with. The first one is a textile wastewater decolourisation process, and the second one an atmospheric corrosion of structural metal materials. In both cases the measurement data were not adequate for constructing a very accurate model. In such cases it is necessary to make a trade-off between model complexity and model accuracy. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.