Modeling for Optimal Investment Strategy of Educational Donation

Nowadays, educational donation plays an important role in the development of education. Since the effectiveness of education donations is affected by many factors, this paper presents a model to find an optimal investment strategy by processing big data. First, a criterion of investment is established by using TOPSIS method. Based on the criterion, schools worth investing are selected through SVM method. After determining return of investment and prosperity index with method of Principal Component Analysis and Data Envelopment Analysis, this model can allocate funds to invest institutions properly for the next five years, taking both indexes into consideration. Finally, this paper extends the model to make it more realistic.