Health Evaluation Method of Power Information System Based on DEA-CCR

In view of the current situation that the power information system is becoming larger and larger and the operation and maintenance is more and more complex, this paper proposes an objective evaluation method of power information system index based on DEA-CCR. Apriori association rule algorithm is used to mine the association relationship between log information, and then select the important association rules that can express the health of power information system. Combined with the extracted association rules, using DEA-CCR evaluation model to get the comprehensive efficiency quantitative index of each decision-making unit, and then according to the extracted index, to evaluate the health of the system. Finall•y, an example is analyzed based on the log data of the host computer of the marketing system of a power company. The results show that the method in this paper is effective and objective, and has strong application value.