Improvement of mining association rules in selecting knowledge groups in the project team with using data mining techniques combined by TOPSIS technique

The role of knowledge management in project management is important and appropriate implementation of this is fairly effective in the efficiency of project management. Identification and using of knowledge groups is one of the principal components of knowledge management. Using association rules to identify the relationship between knowledge groups of the project team can improve and increase utilization of knowledge groups. In order to discover association rules between variables, there are different methodologies that can lead to different results. In this study considered utilization of three methodology to discovery initial of association rules in knowledge groups between project team members.The identified basic rules are checked with multi-criteria decision making technique and then classified. The results of this study as for utilizing a combination of methodologies of discovering the association rules and final classificating rules with TOPSIS technique can introduce the association rules among knowledge groups in project teams that these results lead to the promotion of knowledge management performance in project management.