基于冲突博弈算法的海量信息智能分类

Intelligent Classification of Massive Information Based on Conflict Game Algorithm

在对海量信息进行分类的过程中,常通过信息文本模型及相似度来完成分类,无法完全表示信息属性,导致信息分类时出现冲突。提出基于冲突博弈的海量信息智能分类方法,对信息特征进行提取;在此基础上,根据海量信息的正交属性确定海量信息的分类策略,引入纳什均衡策略和帕累托最优策略,求取海量信息分类问题的最优解,完善分类策略;利用冲突信息检测方法判断冲突信息检测分类是否存在冲突,若存在冲突,则转化为约束满足问题,通过分析分类问题的约束变量确定分类中的操作冲突内容,建立海量信息分类中冲突判别的表达式,实现海量信息的智能分类研究。实验结果表明,采用所提方法进行海量信息的智能分类时,分类效果较好,过程较为简单,对计算机网络运行的影响较小,为冲突博弈算法在海量信息分配中的实际应用提供了借鉴。

In the process of mass information classification,the information text model and similarity are often used to classify,which can not fully represent the information attribute,leading to conflicts when classifying information.The intelligent classification method of massive information based on conflict game theory was proposed to extract information features.On this basis,according to the orthogonal property of mass information,the massive information classification strategy was determined.The Nash equilibrium strategy and Pareto optimal strategy were introduced to seek out the optimal solution to the problem of massive information classification and improve the classification strategy.The conflict information detection method was used to determine whether there is a conflict in the conflict information detection classification.If there is a conflict,it is transformed into a constraint satisfaction problem.Through the analysis of constraint variables of the classification problem,the contents of operational conflict in the classification is determined,and the expression of conflict discrimination in the mass information classification is established to realize the research of massive information intelligen classification.The experimental results show that using the proposed method for intelligent classification of massive information can get better classification results,it＇s process is relatively simple,and this method has little effect on the computer network operation,providing reference experience for the practical application of the conflict game algorithm in the distribution of massive information.