Критерії оптимізації та побудови математичної моделі для систем підтримки прийняття рішень
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Файли
Дата
2018
Автори
Міхалевська, Г.І.
Міхалевський, В.Ц.
Mikhalevska, G.І.
Mikhalevskyi, V.Тs.
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
Розглянуто основні етапи впровадження моделей в системах підтримки прийняття рішень, вибір
критеріїв в оптимізаційних моделях СППР. Проаналізовано важливість формулювання критерію оптимізації для
побудови математичної моделі, визначено задачі оптимізації з одним критерієм і багатокритеріальні для
розвитку інформаційних систем. Описані особливості розв’язання функціональних задач управління та методи
добування даних в СППР.
The article considers the main stages of implementation of models in decision support systems. Selection of criteria in optimization models of DSS. The importance of formulating an optimization criterion for constructing mathematical models, optimization problems with one criterion and multicriteria for the development of information systems, has been analyzed. Features of solving functional tasks of management and data extraction methods in DSS are described. Mathematical models are used to obtain scientifically substantiated managerial decisions of the decision support system. Among them, the most popular in use are the following types of models: optimization, statistical analysis, predictive, neural network. The formulation of the optimization criterion is very important for constructing mathematical models. There are tasks of optimization with one criterion and multicriteria tasks. Most optimization tasks are solved with one criterion. If there are several criteria, it is necessary to apply a methodology accordingly, which will allow to optimize the task in fact with one criterion. There are a number of linear, integer, and nonlinear programming methods that allow you to solve a wide range of tasks. Neural network models allow you to build systems with artificial intelligence that can be learned. The game theory apparatus allows you to simulate conflict situations, competition in the market, find the best solution for solving such problems. Decision support systems are used by a variety of organizations and enterprises to support a wide range of decision making, for decision makers and for different parts of the decision-making process. Therefore, the benefits of these systems can be estimated by quantitative and qualitative indicators. Decision support systems allow you to get the best decisions, to improve the process of making the best decisions. The effectiveness of management is measured by such economic indicators as profitability of the enterprise, cost of production, volumes of output. DSS affect on economic indicators indirectly, therefore, the quantitative measurement of the effectiveness of implementing decision support systems is complicated.
The article considers the main stages of implementation of models in decision support systems. Selection of criteria in optimization models of DSS. The importance of formulating an optimization criterion for constructing mathematical models, optimization problems with one criterion and multicriteria for the development of information systems, has been analyzed. Features of solving functional tasks of management and data extraction methods in DSS are described. Mathematical models are used to obtain scientifically substantiated managerial decisions of the decision support system. Among them, the most popular in use are the following types of models: optimization, statistical analysis, predictive, neural network. The formulation of the optimization criterion is very important for constructing mathematical models. There are tasks of optimization with one criterion and multicriteria tasks. Most optimization tasks are solved with one criterion. If there are several criteria, it is necessary to apply a methodology accordingly, which will allow to optimize the task in fact with one criterion. There are a number of linear, integer, and nonlinear programming methods that allow you to solve a wide range of tasks. Neural network models allow you to build systems with artificial intelligence that can be learned. The game theory apparatus allows you to simulate conflict situations, competition in the market, find the best solution for solving such problems. Decision support systems are used by a variety of organizations and enterprises to support a wide range of decision making, for decision makers and for different parts of the decision-making process. Therefore, the benefits of these systems can be estimated by quantitative and qualitative indicators. Decision support systems allow you to get the best decisions, to improve the process of making the best decisions. The effectiveness of management is measured by such economic indicators as profitability of the enterprise, cost of production, volumes of output. DSS affect on economic indicators indirectly, therefore, the quantitative measurement of the effectiveness of implementing decision support systems is complicated.
Опис
Ключові слова
системи підтримки прийняття рішень, критерій оптимізації, статистичний аналіз, нейромережеві моделі, decision support systems, optimization criterion, statistical analysis, neural network models
Бібліографічний опис
Міхалевська, Г.І. Критерії оптимізації та побудови математичної моделі для систем підтримки прийняття рішень [Текст] / Г. І. Міхалевська, В. Ц. Міхалевський // Вісник Хмельницького національного університету. Технічні науки. – 2018. – № 6, т. 2. – С. 135-140.