SELECTION OF ARTIFICIAL INTELLIGENCE TOOLS TO SUPPORT GIS SYSTEMS

Abstract

The aim of this paper is to characterise the selection process of artificial intelligence tools that, using artificial intelligence for different purposes and tasks, can best support the operation of GIS-class systems. The selection process proposes the use of selected formal methods of multi-criteria comparative analysis belonging to the repertoire of systems analysis methods. Artificial intelligence tools can help improve the quality and performance of GIS-class systems, for example by automating processes, facilitating visualisation, detecting anomalies, generating forecasts, optimising routes, etc. The intention is not to compare specific tools, but only to indicate the importance of the various stages of the selection process, and in particular the importance of the criteria for evaluating AI tools for GIS support.