A Novel FNN Algorithm and Its Application on M&A Performance Evaluation Based on Kirkpatrick Model

The mergers and acquisitions (M&A) performance measurement is an important tool to test the M&A effects, evaluate the validity of M&A decision-making, and which is an important part in the M&A management. But how to measure the M&A performance is a major issue that troubled many enterprises. This paper overcomes the shortcoming of tradition linear M&A measuring methods, proposes a measuring method which establishes a performance evaluation system combined with Kirkpatrick model and describes the evaluation mechanism based on fuzzy algorithm and BP neural network. The performance evaluation of 10 enterprises in Baoding City shows that the results given by this model are reliable, and this method to evaluate the M&A performance is feasible.