This work combines two approaches to the definition of the author’s style: statistical and linguistic (method of morphological analysis). The average data of the authors obtained on the basis of statisticalmorphological analysis are taken as an indications vector. The article shows that this technique allows to recognize the author’s style of the work with sufficient accuracy, on an average about 88 percent. It is shown that the closest measure of proximity to this technique is the Euclid distance. The prospects for the development of this approach areoutlined.
The substantiation of the model for forecasting the cargo flows of mail delivery for the regional postal network using statistical data on the results of the operation of post offices and the entire network as a whole is proposed. An algorithm for developing such a model is proposed in order to improve the quality of postal services and reduce the cost of postal transportation across the region.
The paper considers the author's approach to digitalization of management of the emotional state of collectives of individuals. Collective models are built on the basis of the «cellular emotional automate» proposed by the authors. The possibility of using the standard rules for cellular automate in modeling the emotional behavior of collectives is shown. The proposed approach can be attributed to artificial intelligence technologies.
This article deals with an approach to extracting formal meaning in an arbitrary text document. According to the authors the formal semantic attribute (“semantic pattern”) will allow to solve the problems of automatic classification of verbal context streams and on this basis automatic selection of a reaction to this context e.g. a text document. This method makes it possible to more widely implement digital management methods including in the agro-industrial complex.
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