probabilistic model

The problem of automated error detection in Ukrainian texts is becoming particularly relevant in the context of the growth of digital content. A mathematical model of a decision support system for detecting errors in Ukrainian-language texts has been developed. The process of error identification has been studied as a multi-class classification task at the token level, considering the context of the text. The use of probabilistic models has been proposed to determine the type of error depending on the environment of tokens in the text.

In the paper considered the models of project portfolio’s formation and the allocation of resources between the portfolio projects under uncertainty, their advantages and disadvantages, the impact of organizational structures and modern software development technologies to reduce the uncertainty level, substantiated the necessity to use imitation to obtain decisions on planning in multi-project environment, offered structure of the simulation model.