ЭВОЛЮЦИОННАЯ МОДЕЛЬ ВЫБОРА ОПТИМАЛЬНЫХ РЕШЕНИЙ ДЛЯ ПРОТИВОДЕЙСТВИЯ РАЗВИТИЮ ИНФЕКЦИОННЫХ ЗАБОЛЕВАНИЙ
In this work, in order of development of the previously proposed decision support system to counteract the development of infectious diseases (DSS «CDID») it is proposed evolutionary model (EM), that extends the capabilities of forecast – analytical studies on the spread of infectious disease processes for individual cities and areas of the country as a whole, as well as early assessment of ways solutions to the problems of prophylaxis and therapy in the study territories.
Decision support in equipment condition monitoring systems with image processing is analyzed. Long-run accumulation of information about earlier made decisions is used to realize the adaptiveness of the proposed approach. It is shown that unlike conventional classification problems, the recognition of abnormalities uses training samples supplemented with reward estimates of earlier decisions and can be tackled using reinforcement learning algorithms. We consider the basic stages of contextual multi-armed bandit algorithms during which the probabilistic distributions of each state are evaluated to evaluate the current knowledge of the states, and the decision space is explored to increase the decision-making efficiency. We propose a new decision-making method, which uses the probabilistic neural network to classify abnormal situation and the softmax rule to explore the decision space. A modelling experiment in image processing was carried out to show that our approach allows a higher accuracy of abnormality detection than other known methods, especially for small-size initial training samples.
Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society: Proceedings of the MakeLearn and TIIM Joint International Conference 27–29 May 2015, Bari, Italy
There are shown situations when such ordinary things as a shop, a workshop, an insurance company, a long distance train, a clinic, a hospital, a stage scenery, some sport activity or military service, unfavorable ecologic or informational situations further the dependant condition of a person, in the article. Besides such person experiences not only psychological of physical discomfort, but such emotions, that ruin its nature, change the behavior, touch the soul, restrain the psyche, perturb the heart, the whole body. There are made several propositions of freedom infringement counteraction concerning every kind of exploitation, including the criminal law resistance to it.
There are analyzed the encountered in the title kinds of exploitation, uncovered its social danger and given the criminal legal characteristics, pointed out the ways of counteraction in the article. The author substantiates the conclusions concerning the freedom from such kinds of exploitation and the measures of combating encroachments on this freedom. There is shown the significance of the civil society institutions for the relevant areas of penal policy.
An outline of a few methods in an emerging field of data analysis, “data interpretation”, is given as pertaining to medical informatics and being parts of a general interpretation issue. Specifically, the following subjects are covered: measuring correlation between categories, conceptual clustering, and generalization and interpretation of empirically derived concepts in taxonomies. It will be shown that all of these can be put as parts of the same inquiry.
In modern world enterprises need to be agile in their operation and structure to react to changes quickly. One of the open questions here is how to develop the enterprise, or, to be more precise, if enterprise needs to be developed, and if yes, in which way. In this research we are focusing on the case when enterprise stakeholders understand the need of enterprise development, have ideas for that, and they need decision support method to understand if enterprise restructuring is likely to be successful and cost effective. Another covered topic is how to choose the best option for restructuring from variety provided. In this paper we describe the developed decision support method which combines DEMO methodology and transaction costs theory for quantitative costs estimation. To make this method applicable and reproducible we proposed few enhancements to DEMO notation.
The collection includes articles, reflecting the author's view on the problem of the latency of economic crimes. Presents the views of experts and scientific views on the definition and types of latent crime, modern understanding of the latency of crimes in the economic sphere, especially the determination of latent crime. For a wide range of readers interested specified Noi issues.