Examination of the Efficiency of Algorithms for Increasing the Reliability of Information on Criteria of Harness and the Cost of Processing Electronic Documents

Abstract

The task of analyzing the effectiveness of the functioning of electronic document management systems (EDMS) is formulated and the methodological basis for optimization is developed according to the criteria of reliability, complexity and cost of information processing. A technique for estimating the time of input, transmission, storage, processing, exchange of documents and increasing the reliability of information based on implemented and traditional approaches aimed at using statistical, logical, semantic and structural - technological relationships of document elements is proposed. Models and algorithms for optimizing the placement of electronic documents (ED) in databases and other information systems associated with the system have been developed. Methods are proposed to minimize the time of searching, processing, increasing the reliability of information and presenting the required document to the user. A computational scheme for solving the optimization problem based on the use of adaptive methods of stochastic random search, modeling by a truncated Markov chain and dynamic programming has been developed and implemented. The conditions for optimizing the values of the labor-intensiveness coefficients and the cost of information processing algorithms based on the application of linear constraints on their efficiency areas are studied. The experimental results of the gain coefficient in the reliability of the information obtained by the maximum rating score are obtained. The software package has been implemented and the values of the coefficient of efficiency of algorithms for increasing the reliability of information based on the use of adaptive random search, segmentation, semantic redundancy and lexicological synthesis of the structure of electronic documents have been analyzed

Оптимизация Прогнозирования Нестационарных Объектов В Условиях Большой Параметрической Неопределенности

“…Новые решения задач оптимизации прогнозирования нестационарных объектов предполагает разработки методов, направленных на построении вычислительных схем извлечения информационно-статистических параметров, динамических, специфических характеристик, скрытых знаний и особенностей объектов на основе применения конструктивных особенностей механизмов отбора информативных элементов СВР, контроля достоверности данных, настройки значений переменных. При этом требуется создания комплекса алгоритмов идентификации СВР, представляемых прозрачными и устойчивыми процедурами и выполняемых с меньшими затратами [5,[6][7][8].…”