The structure and algorithm of the intelligent decision support system for the identification of cultural values

Abstract

The article discusses the algorithm of the work of an intelligent decision support system for identifying cultural values and the user with it, the issues of determining the main scenarios of work and restrictions. The author provides the expediency of dividing the software implementation of the system into separate modules, which will make the process of scaling the system less labor-intensive and more efficient. A set of tools for solving the problem is presented, where a decision is made as such. Moreover, for the identification and analysis of different types of cultural property objects, different types of neural networks can be provided. It also notes the complexity and complexity of the approach to solving the problem, certain prospects and ways of further research of this subject area. The use of the system specified in the article, built on the basis of neural networks and modern software and hardware, will allow the user, in conditions of uncertainty and in conditions of limited time, to receive additional help in making decisions in identification and CC, the use of a system of this type is relevant and promising. The approach proposed by the author to the creation of this system is convenient and effective, has a powerful potential for further development and improvement of the system. The combination of databases and knowledge in one system, together with a powerful mathematical and analytical apparatus, will allow reaching a higher level of identification and analysis of objects of cultural property in comparison with conventional databases and catalogs. The conclusions set tasks for solving organizational, legal and technical issues related to the implementation and operation of the system.

Methods and models of organization and processing of data and knowledge in an intelligent decision support system for the identification of cultural values

“…No 151 the CV due to the implementation and use of the intelligent decision support system (IDSS) created on the basis of modern methods/models/technologies/tools. In the future, this tool can be used not only by experts in specialized laboratories, but also by a wider range of users [8,9] The author determined that part of the issues that arose during the analysis of the state of the issue and the setting of the research objectives depend to a large extent on factors and third parties that will not have a direct relationship to the processes of development and implementation of the IDSS [10].…”