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The adaptation both information and communication systems to variable external factors is implemented through the modernization activities. In this paper the problem of decision-making for adaptive system reconfiguration under uncertainty is considered. The decision-making method is used to detect a need for reconfiguration, built a set of reconfigurations plans and choose the preferable one based on data collection from diagnostic sensor network. Integral decision- making criterion combines the criterion for selecting a suitable reconfiguration moment and alternative. The main idea of the proposed method is to combine the multifactor active diagnostic model, weighted utility and preference theory, decision-making technique under uncertainty with comparison methods for fuzzy trees with incomplete requirement. The general result is achieved by reducing the uncertainty of diagnostic data. It is expected that the proposed decision-making method will help to improve the systems' suitability in the case of uncertainty.
Yuesti et al. (Fri,) studied this question.