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The paper proposes a predictive approach to assessing special classes of dangerous states in the development of technological processes in order to make proactive decisions. The developed approach is based on a hybrid model based on the combination of an evidence-based classifier, fuzzy logic, and a Dempster–Shafer probabilistic scheme for evidence combination. The article presents a formal description of the predictor of critical states of the technological process. The resulting approach is universal and applicable in the automation of any complex technical systems. As an example, this article considers the application of the developed approach to solve the problem for assessing the safety of the technological process of shunting trains on a hump yard. The presented example shows the high efficiency and practical usefulness of the developed approach. [ABSTRACT FROM AUTHOR]

In this paper we propose a model for taking into account International Monetary Fund (IMF) mebers’ preferences to coalesce based on joint membership in political end economic organizations beyond the IMF and on regional proximity. The analysis of members’ effective power is carried out on the base of developed power indices for three variations of decision making thresholds implemented in the Fund. [ABSTRACT FROM AUTHOR]