Abstract. The function of generating paper is a core part for Computer examination system, which has huge influence on the quality of the examination system. The process of generating paper is that some examination questions are selected from paper database according to the composing evaluation function satisfying the users' demands. In this paper, the methods of intelligent composing evaluation function are presented, which can play promotion for improving the testing system. The intelligent evaluation function not only save much time and human resource, but also improve the accuracy of the evaluation function by self-learning ability without the help of the educational experts.
IntroductionComputer examination system is an important part of computer education while the emergence of it not only improves the efficiency of designing papers and the fairness of the exam but also avoids spending huge manpower and resources like traditional examination. A complete set of examination system mainly includes examination bank, examination paper library, examination paper generating modeling and test paper analysis module. Examination paper generation module is the most important part of the examination system. The main function of generating paper modeling is guided by evaluation function to extract test set rapidly and accurately which satisfies users' requirements by using generating paper algorithm and it's a key part to determine whether the test paper is reasonable or not.
Background and relative researches
Shipbuilding is a complex process and needs plentiful suppliers. Knowing how to select ship suppliers according to the customer requirements is a pivotal task. A dynamic self-optimization evaluation model for ship suppliers is presented in this paper, which is accomplished by an improved particle swarm optimization. The experiment shows that the novel method can not only accomplish the intelligent evaluation of ship suppliers and avoid redundant experts’ dependence but also adjust the evaluation function dynamically according to the annual situations and maintain the practicability of the evaluation model.
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