关键词: 粗糙集, BP神经网络, 约简, 分辨矩阵, 绩效改进决策模型

Abstract: A performance improving decision-making model of core enterprise based on rough sets and neural network is set up from knowledge discovery and data mining perspective，and reduction method based on discernable matrix and BP algorithm based on gradient method aere used.Then an example is given，firstly its index based on the balanced scorecard system is reduced，secondly the reduction index is input to BP neural network for intelligent training，when compared with the training result of no reduction index，the two training results are identical，finally on the basis of the objective weight，performance improving suggestion of core enterprise is brought forward.

Key words: rough sets, BP neural network, reduction, discernable matrix, performance improving decision-making model