多因素作用下复杂系统多级可拓关联预测模型及应用  

A Multilevel Extension Association Prediction Model of Complex Systems under the Influence of Many Factors and Its Application

作　　者：陆慧[1] 

机构地区：[1]安徽财贸职业学院,合肥230601

出　　处：《重庆科技学院学报（自然科学版）》2016年第3期107-111,共5页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

基　　金：高等学校博士学科点专项科研基金项目"面向多品种部件的传送带给料加工站的在线优化控制方法"(20130111110007)

摘　　要：针对复杂系统预测分析的问题,提出一种多因素作用下的复杂系统多级可拓关联预测模型。首先建立预测对象的关联指标以及可拓类别,确立不同可拓类别下关联指标的经典域与节域,然后对关联指标进行统一化处理;建立关联预测的可拓关联函数和关联度模型,基于关联度的大小获得预测对象的归属类别。针对单次可拓关联预测结果不理想问题,通过多级细分可拓类别,最终获得精确度较高的预测结果。For the problem of complex system prediction analysis,a multi-level correlation forecasting analysis model under the influence of many factors was proposed in this paper. Firstly,the correlation index and the extension category of the forecasting object were established,as well as the extension of the classical domain and the extension section of the prediction object. And the correlation index of the non uniform dimension was unified to set up a calculation model of the extension correlation function and the calculation model of the extension degree of the multi-factor correlation was achieved. On the basis of the above,the category of the forecast object was got. If the prediction results of the single extension association are not satisfactory,the extension category can be subdivided in many times,and the result of higher accuracy can be obtained.

关 键 词：可拓关联分析 复杂系统 多层级预测模型 可拓理论 多因素决策 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]