Abstract: The problems of visualization of multidimensional fuzzy ranks are considered. The methodology of analysis of images basis of fuzzy number is given. It is shown that the most rigid structure of a fuzzy number is the number of components with the highest value of membership function. Built in accordance with the proposed method a series of visual images reflect the tendency of the fuzzy time series. Application of fuzzy time series visualization facilitates the identification of high-quality bonds in the consideration of dynamical semi-system (including social and economic). The proposed approach allows for a qualitative level to solve the problem of grouping, structuring and forecasting in such systems.
Keywords: fuzzy time series, semistructured systems, decision-making, visualizationof multidimensional data
Authors and copyright holders:
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For citation:
Berestneva O. G., Volovodenko V. A. Visualization of decision-making processes. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2012, no. 2(26), – p. 2. pp. 195–199.
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