基于模糊聚类的会计预算信息智能融合方法

Intelligent Fusion Method of Accounting Budget Information Based on Fuzzy Clustering

信息智能融合的稳定性较差,容易出现信息融合不准确的状况,因此提出基于模糊聚类的会计预算信息智能融合方法。通过特征值的正负概率计算对特征进行提取,在数据层、特征层和决策层的三个层次划分中,分析会计预算信息融合层次,构建信息智能融合模型,基于模糊聚类实现会计预算信息的智能融合。实验结果表明,实验组能够准确聚类融合信息,可以运用到实际的会计预算信息融合中。

Due to the poor stability of information intelligent fusion,resulting in inaccurate information fusion,a fuzzy clustering based intelligent fusion method for accounting budget information is proposed.By calculating the positive and negative probabilities of feature values,features are extracted.In the three hierarchical divisions of data layer,feature layer,and decision layer,the fusion level of accounting budget information is analyzed,and an information intelligent fusion model is constructed.Based on fuzzy clustering,intelligent fusion of accounting budget information is achieved.The experimental results indicate that the experimental group can accurately cluster and fuse information,which can be applied to actual accounting budget information fusion.