Support of decision-making in the conditions of uncertainty of different types

• Main Authors: Doan Ha D., Pylkin Alexander N., Kroshilin Alexander V., Kroshilina Svetlana V., Tishkina Valeriya V.
• Format: Article
• Language: English
• Published: EDP Sciences 2016-01-01
• Series: ITM Web of Conferences
• Online Access: http://dx.doi.org/10.1051/itmconf/20160602006

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.