SYSTEM FOR CONTRACT PROFIT ANALYSIS IN THE MEDIA SECTOR

Abstract

Abstract. This article examines the topic of decision-making in detail, focusing on their varieties and methods, stages and algorithms. The definition of the concept of decision is given and then it goes to the analysis of various approaches and methods that can be used in the decision-making process. Special attention is paid to the stages of algorithms for rational decision-making. It is revealed how these stages can contribute to solving complex problems and finding optimal solutions in various situations, as well as how knowledge of these stages can help in modifying a specific algorithm. The article also provides a specific example: the task of choosing the most profitable advertising contract in the field of mass media. To solve it, the linear convolution method was used, which made it possible to optimize the choice, taking into account various criteria. The relevance of choosing this method, the steps of applying this method, adapting it to specific conditions and established criteria are described in detail. In addition, the article discusses the features of using the linear convolution method when increasing the number of criteria and variables. It is analyzed how the change of these parameters affects the decision-making process and the quality of the final results. This analysis is important for a deeper understanding of the potential and limitations of the linear convolution method in management decision-making, identifying the disadvantages and advantages of this method, as well as the scope of effective application and allows a better comparison of this method with analogues. In general, the article provides valuable information for professionals in the field of management and control, automation of decision-making, as well as for those interested in the theory and practice of decision-making. It analyzes the decision-making process and demonstrates how theoretical knowledge and decision-making methods can be applied in practice to solve specific business problems.