ITM Web of Conferences
Volume 6, 20166th Seminar on Industrial Control Systems: Analysis, Modeling and Computation
|Number of page(s)||3|
|Published online||25 March 2016|
Support of decision-making in the conditions of uncertainty of different types
Ryazan State Radio Engineering University, 390005 Ryazan, Russia
a Corresponding author: firstname.lastname@example.org
At the present stage the solution to the problem of decision-making support in the conditions of uncertainty is seen in the application of decision-making support systems (DMSS), which are based on the theory of fuzzy sets and fuzzy logic. One of the most important stages of decision-making support in the conditions of uncertainty is the analysis of the accumulated statistical data. At present, the fuzzy algorithms, including the algorithms of fuzzy clustering of data, are successfully applied to effective research of such data. In recent years, for the effective solution to problems of fuzzy clustering, the device of fuzzy relations that is based on building fuzzy relations of data objects and their properties is widely and successfully used.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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