Intellectualization of decision support systems based on cloud computing

Abstract

The implementation of artificial intelligence is a priority direction for the development of information management systems. Decision support systems (DSS) are information processing systems that emerged from the integration of automated management systems and database management systems. Their purpose is to assist users in making decisions on complex, unstructured, or weakly structured problems in various fields of human activity. Various methods can be used for analysis and generating recommendations by the system, including information retrieval, simulation modeling, case-based reasoning, situational analysis, cognitive modeling, machine learning, artificial neural networks, data mining, knowledge discovery in databases, genetic algorithms, and others. This article proposes a method for the intellectualization of decision support systems based on the use of OSTIS Technology, intelligent agents, and cloud computing. The implementation of autonomous agents for discovering hidden interpretable patterns in data and subsequent classifier construction is described. The effectiveness of the method is confirmed by the results of a numerical experiment based on model data.