The satisfaction of both operators and posts is an important basis for person-post matching. A decision-making method of person-post matching with uncertain preference order information was proposed considering the risk attitude of both parties. Firstly, the problem of person-post matching with uncertain preference information was described; then, according to the risk mapping function, the risk attitude factor of both parties was introduced to transform the uncertain preference information into an order value vector; then, the concept of person-post matching satisfaction was introduced and on this basis, considering the requirements of mutual satisfaction of the matching subjects of both parties, the optimal matching model of both parties' satisfaction was constructed. Finally, an example was given to verify the feasibility and effectiveness of the method.

In order to identify the mental load of operators under repetitive high-precision tasks effectively, 36 subjects were recruited in this study. The fine tasks on the electronic assembly line were simulated in the laboratory, and operators' behavioural performance (completion time, error rate) and the changes of Oxyhaemoglobin (O2Hb) in prefrontal channels 2, 8, 12, 17, 20 and 21 of the brain were characteristic factors for mental load recognition. A model of recognition of mental load state of operators based on BP neural network was constructed and the fatigue state of operators was divided into four levels. Finally, the recognition rate of the mental load state of operators was 86.81% by combining the experimental data. The combination of behavioural performance indicators and physiological measurement indicators can effectively identify mental work state of operators, which provides a new idea for classification and recognition of mental load state of operators under repetitive high-precision operation tasks, and provides a reference for the establishment of effective labour organization.