Abstract: Decision trees are the well-known a popular tool in the areas where non-numerical data are used. In the paper we demonstrate the application of decision trees for analysis of International logistics. First of all we cluster data to reduce the number of variants for comparison. Then the regression analysis is completed and the significant parameters combinations are determined. The logical function and decision tree could be useful for revealing possible corruption schemes in logistics. Finally we complete experiments with this decision tree. The suggested method can be used for constructing a decision tree based on a large amount of similar data.

ACM Classification Keywords: 1.2 Artificial Intelligence

Keywords: decision trees, logistics, corruption

Link:

CONSTRUCTING DECISION TREE BASED ON QUESTIONNAIRES TO DETECT A POSSIBLE CORRUPTION IN LOGISTICS

Dmitry Stefanovskiy, Sergey Maruev, Xavier Tejada

http://foibg.com/ibs_isc/ibs-27/ibs-27-p02.pdf