摘要：Researchers in the quality assurance field used traditional techniques for increasing the organization income and
take the most suitable decisions. Today they focus and search for a new intelligent techniques in order to enhance
the quality of their decisions. This paper based on applying the most robust trend in computer science field which is
data mining in the quality assurance field. The cases study which is discussed in this paper based on detecting and
predicting the developed and developing countries based on the indicators. This paper uses three different artificial
intelligent techniques namely; Artificial Neural Network (ANN), k-Nearest Neighbor (KNN), and Fuzzy k-Nearest
Neighbor (FKNN). The main target of this paper is to merge between the last intelligent techniques applied in the
computer science with the quality assurance approaches. The experimental result shows that proposed approaches
in this paper achieved the highest accuracy score than the other comparative studies as indicates in the experimental
result section.
关键词：Quality assurance; Monetary policy; Macroeconomics;
Data mining
