Enterprise Performance Evaluation Model Based on DEA Algorithm with Decision Making Unit

In order to evaluate the performance of the enterprise effectively and reasonably, a performance evaluation model is proposed based on optimized DEA algorithm with decision making units. First, a second goal is set on the basis of classic DEA algorithm, and the only public weight is further determined to make the minimizing sum of changes between the efficiency of public weights and the classic DEA algorithm. And then weaken self-interest factor‟s influence on the evaluation conclusion in the basic DEA evaluation by using the cross efficiency method. According to the actual situation of objects, give weights for two groups‟ efficiency respectively. The final efficiency of units is expressed by the linear combination of the two groups of efficiency and the weights. Simulations show that the error of the proposed improved model is relatively small, the sorting result take into account the organization efficiency maximization, self-evaluation of each unit and group evaluation at the same time, and highlight the evaluation target, which is scientific and effective..