SELECTING THE STRUCTURE OF A MULTIMEDIA INFORMATION TRANSMISSION NETWORK

Abstract

When transmitting multimedia information over communication networks, the question of multi-criteria evaluation always arises. It is convenient to qualify multi-criteria as the uncertainty of goals and to approach it from the only positions of analysis of uncertainty itself.
The purpose of the work is to consider the specific principles of choosing a network structure, as well as to solve the problem of forming a system of axioms and properties. which correspond to the principles of selection.
When studying multi-criteria problems, it is necessary to determine the method of the task and accounting for the determining elements of choosing the network structure. The article shows that the defining elements of such a choice include the concepts of normalization, convolution, and priority. To solve this issue, it is necessary to formulate a system of axioms and properties that must correspond to the principles of such a choice.
First, the concept of normalization is considered and its possible methods are classified. Next, actions with indicators that form a complete space are indicated, that is, all dependencies are taken into account when forming the target convolution. The concept of priority is based on the comparison of target indicators. When considering the priority, due to the lack of a clear distinction between importance, significance and efficiency when setting multi-purpose structures, it is possible to use only one of the options for setting the priority. It is shown that the priority relation can also be defined in the form of more complex order relations, which are generated by the initial binary orders. At the same time, it is necessary to take into account the agreed priority task. The formation of the order relation in which the selection of normalization, convolution, and priority is carried out is attributed to the principle of selection. Setting the principle of choice makes it possible to determine how the solution of the multi-objective optimization problem is understood and to determine the set of optimal elements.
It is established that the task of decision-making in conditions of natural uncertainty can be reduced to the task of decision-making in conditions of uncertainty of goals.
An example of obtaining additional information about the situation, which leads to the resolution of the conflict, is given.