Macroeconomic Diagnosis and Prediction Through Software

Abstract

The competitive and dynamic nature of the business environment in the global economy determines managers to respond to a number of situations for which they need complex information. This has led to the need to develop new tools and to interconnect them with existing systems. This paper presents aspects of the combined use of artificial intelligence techniques for the evolution of an economic entity based on a set of economic indicators over a long period of time. Based on the set of economic indicators, a measure D (x) can be defined on the space of the forms defined by the set of these indicators, as it will characterize the analyzed economic activity at different times.

Keywords

• macroeconomic diagnosis
• prediction
• set of classes
• database