Logistics Outsourcing Risks Evaluation Based on Rough Sets Theory

There are a variety of risks because of many factors’ influences in the process of logistics outsourcing. The logistics outsourcing risks are taken as the objects of study, based on rough sets model, the initial decision table is made reduction using Johnson Reducer algorithm, the weight coefficient of each risk index is determined by calculating the importance of attributes in the decision table after reduction, and a model of logistics outsourcing risks evaluation based on rough sets is proposed in the paper. The model can effectively overcome the subjectivity of determination of weight coefficient in current evaluation model and serve as the decision basis for enterprises to carry on logistics outsourcing risks evaluation and its prevention. Evaluation to 6 logistics enterprises in Handan City just verifies the validity of the evaluation model, providing the measurable basis for the enterprises’ logistics outsourcing risks and a set of scientific logistics outsourcing decision system for the enterprises’ managers.