| With the rapid development of computer science and information technology, the Internet coverage area expands unceasingly and the enterprise informationization is getting faster and faster.As an important component of it, human resources management informationization also attracts more attention,thus develops unceasingly and matures gradually.An outstanding human resources management system(HRMS) can help the enterprise improve human resources management working efficiency,reduce the duplication work,improve the service quality and provide policy-making support based on the information,so that promotes the management level,reduces the management cost,enhances the core competitiveness and creates bigger profit space for the enterprise.The small and medium-sized enterprise is an important component of the national economy.As for them,a good HRMS should be simple,practical,easy to implementation, conveniently to maintain and inexpensive,which is the goal of this paper.In view of that the existing HRMS don't satisfy the demand of small and medium-sized enterprises very well,the paper carries on the following research. First,the synthesis utilization of the fuzzy mathematics theory and the analytic hierarchy process in the performance evaluation management is discussed.Then, the object-oriented unified modeling language(UML) is introduced and the modeling process and tool are determined.Then,the paper elaborates the design and development of a set of scientific HRMS in detail.Models of the system functions,the operation flows and the physical construction are established using UML.The database and 10 functionmodules of the HRMS are designed and realized using Microsoft SQL Server 2000 and Delphi 7.0.The fuzzy synthetic evaluation method is applied in the performance evaluation management,making it more scientific.By releasing the data through the Web service,the HRMS provides an integration interface to other management information systems.Finally,the summary of the full text is carried on and the future research direction is forecast. |