A job placement intervention using fuzzy approach for two-way choice

A real-world personnel selection or job placement problem based on a two-way choice frame in an enterprise-and-school partnership system is addressed in this paper. This study aims to develop a job placement intervention by taking into account the fuzzy assessment results of the persons involved on both sides to facilitate placement opportunities and satisfaction so that the problem is tackled in a more convincing and workable way. According to the classified results of enterprises and students, the distinction results are screened for final matching. The utility similarities of fuzzy assessments with very good are used to measure the satisfaction grade for the placement results, including enterprise-student matches and student-student combinations. A mixed integer programming model is performed to fulfill the ''efficient fit from the right'' policy. Numerical results and simulated application results demonstrate the effectiveness and benefits of the proposed method. Since the proposed method is a value-added matchmaker and can be easily performed, it can also be used to effectively deal with the analogue problems with two-way choice characteristic, such as the choices between advisers and graduate students and between government-expense graduates and different posts.