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

作　　者：杨洁 YANG Jie(State Grid Chongqing Electric Power Company Urban Power Supply Branch,Chongqing 400015,China)

机构地区：[1]国网重庆市电力公司市区供电分公司,重庆400015

出　　处：《信息与电脑》2023年第21期173-175,共3页Information & Computer

摘　　要：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.

关 键 词：模糊聚类 预算信息 信息智能融合 数据信息 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]