Dong Leilei

Research on method for acquisition of process knowledge based on α-algorithm

The daily activities of an organization are performed through the implementation of kinds of business process, however, some of the knowledge relative to these business processes is dispersed among the staffs, namely tacit knowledge, which is difficult for an organization to discover and manage. In order to resolve this problem, a method of process knowledge acquisition based on the alpha-algorithm is proposed. Process knowledge system is first analyzed by the theory of system engineer, and then, a workflow log is designed to support the acquisition of process knowledge. Subsequently, workflow log is analyzed by the alpha-algorithm, and the corresponding process knowledge is acquired. In the end, a case study is included to demonstrate the applicability and effectiveness of the proposed method.

Research on Constructing Emergency Event Bayesian Networks Model

Emergency events have brought lost to the human society. To improve the effectiveness of emergency management, a universal emergency event Bayesian Networks model for predicting dynamics of the event is proposed in this paper. Based on system theory, emergency event is first viewed as a system, and the basic elements of the system are proposed. Then the Bayesian networks model of emergency events is proposed to deal with the uncertainty of the events, and the method of building the Bayesian Networks is introduced. Finally typhoon event is incorporated as an example to demonstrate its effectiveness in practice. The model proposed in this paper can help predict various emergency events using expert’s knowledge and historic data.