The urban employment matching decision-making of rural migrant workers based on grey incidence analysis

With the accelerating process of urbanization, rural migrant workers flood into the cities. Research projects that aim at resettlement and employment promotion of these workers, social stability, as well as economic development have drawn attention of government and scholars alike. With respect to the matching problems of urban employment of rural migrant workers, grey incidence analysis and two-sided matching theory is exploited to establish a novel two-sided matching decision-making model between rural workers and their jobs. In this paper, first, grey incidence analysis is used to describe and measure the preference information and satisfaction degree of both rural workers and their jobs; from the perspective of satisfaction degree of matching subjects, stability of the matching plan and equality, a multi-objective optimization model for two-sided matching decision-making problem between rural workers and their jobs was constructed, based on minimum matching distance and minimum deviation of matching distance; then linear weighting method is exploited to convert the multi-objective matching model into a single-objective optimization model to determine the two-sided matching plan between rural workers and their jobs; finally, the real problem of urban employment of rural migrant workers is discussed.