关键词: 知识共享, 效率评价, 指标体系, 粗糙集, RBF神经网络

Abstract: Because of the lack of efficiency evaluation method，the knowledge-sharing efficiency evaluation model based on rough sets and RBF neural network（Rough Set and Radial Basis Function Neural Network，R-RNN） is proposed in this paper.Firstly，the process of knowledge-sharing is researched，the efficiency affecting factors of knowledge-sharing is analyzed，and then the index system of efficiency evaluation is constructed.Secondly，the theory of rough set is utilized to rationalize the knowledge-sharing efficiency evaluation index system and reduce the input dimensionality of RBF neural network.Then，RBF neural network is used to get the synthetic evaluation value of knowledge-sharing efficiency.Finally，an application example is given to validate the feasibility and effectiveness of the model.

Key words: knowledge sharing, efficiency evaluation, index system, rough set, Radial Basis Function（RBF） neural network