Decision support systems and determination of the degree of determinism of information models in technical systems

Abstract

Organizational activities involve daily decision-making of various complexities. Similarly, the company’s management constantly needs reliable information on various issues related to the business of the enterprise in order to maintain the proper functioning of the business. The quality of enterprise management, effective planning of the organization’s activities and its functioning in conditions of risk, uncertainty and competition depend on the correctness of decision-making. For such purposes, the information must be reliable, clearly understandable, access to it must be fast, and both historical and current company data can be obtained from the reports. Automated information technology systems can provide significant assistance in performing these tasks. An example of such systems is decision support systems (DSS). Such technical systems are used in completely different industries, for example, economics, industry, financial sector, trade, etc. The use of artificial intelligence in practice is based on expert systems, which significantly reduces decision-making time and improves its quality, as well as generally contributes to improving the efficiency of the company’s management and increasing the professional competence of employees. The article discusses in detail the approaches to modern DSS and also presents mathematical tools based on determining the unity of numerical information for such systems – determining the degree of determinism of models through the coefficients of emergence.