关键词: 云制造, 员工资源, 优选度, 偏好符合度, 激励&mdash, 惩罚函数, 变精度粗糙集理论

Abstract: To solve the service selection of staff resources in cloud manufacturing environment,a method to choose staff resources based on staff cloud was proposed.By considering the capacity of staff service and the expectation of staff demand-side,a relevant evaluation index system for capacity of staff service was proposed,and a model of incentive penalty function and variable precision rough set theory was built by improving incentive penalty function and combining with variable precision rough set theory which was used to obtain the staff optimization degree for taking the important basis on choosing staff.The feasibility of the proposed method was proved by an example.

Key words: cloud manufacturing, staff resources, optimization degree, preference conformity degree, incentive penelty function, variable precision rought set sotheory