Abstract: To solve the construction of the evaluation index system of the employment quality of finance and economics college graduates, a new optimization method based on rough set theory for the evaluation index of Employment quality is proposed. Fourteen evaluation indexes are first established, the employment information of Jilin University of finance and economics graduates from 2012 to 2015 is taken as a sample data and the quantitative statistics is used to determine the weight of the indexes preliminary. The evaluation objects are evaluated and classified. The rough set theory is used to simplify the evaluation indexes, eliminate those do not affect the classification. The index system is reduced to 6 indexes from the original 14 indexes, and the weight of each index is re-determined. Finally the optimized evaluation index system of the finance and economics college graduates’employment quality is obtained. Using the optimized index system can reduce the workload of statistics and evaluation. This method provides a new direction and means for the construction and optimization of the evaluation index system of the employment quality of finance and economics college graduates.

Key words:  rough set theory, employment quality, optimization, evaluation index system