Decision Support System

Розроблення інформаційної системи підтримки прийняття рішень для моделювання і прогнозування фінансово-економічних процесів

Для прийняття об’єктивних обґрунтованих рішень у всіх сферах діяльності необхідно створювати інформаційні системи підтримки прийняття рішень на основі статистичних даних і експертних оцінок та з використанням відповідних математичних моделей та методів. Запропоновано процедуру побудови інформаційної системи підтримки прийняття рішень за методологією системного аналізу на основі сучасних методів і моделей прогнозування, яка надає можливість оцінювати та прогнозувати фінансово- економічні та інші процеси в умовах впливу збурень довільних типів та різної природи.

Розподіл обмежених ресурсів засобами СППР

Описано методології планування потреб у ресурсах. Проаналізовано програмні комплекси систем розподілу ресурсів і обґрунтовано потребу в розробленні своєї системи підтримки прийняття рішень. Проведено тестування прототипу СППР розподілу обмежених ресурсів, яка реалізує розроблені моделі та алгоритми.

Decision Support System for Order Processing Based on Cross-programming Technology

A typical standard architecture of the support system has been proposed, making decisions on forming and implementing solutions based on cross-programming and heavy calculations and similar functional capabilities before it. The technology for disaggregating such systems on the basis of cross- programming and efficient calculations, as well as reducing costs/hours/resources for disaggregation, promotion and support of such support systems to support the adoption of a solution, has also been proposed.

Use of ontological networks in decision support systems under ambiguity

The increasing amount of information that needs to be taken into account in decision making determines the relevance of building intelligent decision support systems. The prerequisite for making the right decision is to build a correct conceptual model of the problem situation, which takes into account all the factors relevant to this situation. The conceptualization of the problem situation is presented by the ontology of that situation. When forming the ontology of a situation, it is advisable to use knowledge from existing ontologies.

Using model-oriented decision-making support system for the improvement of safe operation of a ship electric power installation

A model-based decision support system is proposed to increase the reliability of the ship electric power installation. This system consists of a simulation unit and an evaluation unit for modeling results using a fuzzy inference system. The developed system can be implemented as a part of control systems, either on the basis of programmable logic controllers, or on the basis of a separate programmable logic controller. The criteria used to evaluate the results of modeling and possible consequences are considered.

Decision Support System for Financial Markets’ Investment Risks Analysis

The article describes the features of the VaR methodology for assessing investment risks in the financial markets of securities. Developed decision support information system allows to calculate expected and unexpected losses on selected stocks and investment portfolio as a whole, as well as to determine the probability of risk’s occurrence and the required amount of reserve capital.

The data warehouse construction for decision support system for designing distributed energy systems

This paper discusses the problems that arise when working with disparate data sources using database. The model of data warehouse is presented as way of integrating and processing data from disparate sources while creating a decision support system for the design of distributed energy systems.

Aspects manifestation of uncertainty in the process of developing decision support systems

This article describes the classification and approaches to the construction of DSS that take into account various aspects of the uncertainty of the development of DSS. Features of the classification were proposed and described. Generalized classification of DSS was improved. The analysis of the types of architecture, architecture reviewed information resource decision support systems, based on the principles of building a data warehouse.

Застосування об’єктно-орієнтованого підходу до побудови моделі СППР

This article describes an object-oriented approach of DSS modeling. Three-level architecture is suggested and it describes a conceptual model of DSS. The analysis of possible reusable components for various types of structures is analyzed. We describe the principles of building a custom DSS use of multiple components.

Ontology data cleansing

This article describes the steps to clear data in the DSS. The ontology concepts of clear data were proposed and described. The analysis of methods and data cleansing technology were carried out at every stage of the process, taking into account its features. Built The ontology of data cleaning techniques for methodological systematization of functional elements in the implementation model of DSS was built.