采用熵权和模糊集的特征评价方法及应用  

Novel characteristic evaluation method based on entropy weight and fuzzy set and its application

作　　者：饶泓[1] 董晓睿[1] 何宇东[1] 李祥文[2] 

机构地区：[1]南昌大学计算中心,南昌330031 [2]北京理工大学软件学院,北京100086

出　　处：《计算机工程与应用》2012年第23期47-51,共5页Computer Engineering and Applications

基　　金：江西省自然科学基金(No.2009JX02331);江西省教育厅科技项目

摘　　要：针对传统评价方法主观性过大,人为因素影响评价结果的问题,提出一种基于熵权和模糊理论的评价方法。该方法对属性特征与评价结果之间的映射关系和指标权重向量进行模糊化处理,采用隶属度矩阵表达评价因子和评价结果之间的映射,再利用信息熵定量计算各影响因素的权重,克服了在传统评价过程中人工设定权重系数的主观性。以起重机械的安全评价为例,验证了该方法的有效性。Subjective evaluation affects the evaluation result greatly in traditional evaluation method,which leads to the inaccurate evaluation result.A new evaluation method based on entropy weight and fuzzy theory is proposed.Fuzzy processes are done for the index weight vector and the mapping relationship between property characteristics and evaluation results,in which,the membership matrix is used to indicate the mapping relationship between evaluation factors and evaluation result.And then,the entropy is used to quantitatively calculate the weight of each factor,which overcomes the drawback of manually setting the weight factor subjectivity in traditional evaluation process.The effectiveness of the proposed method is verified by the safety evaluation of lifting.

关 键 词：熵权 模糊理论 特征评价 隶属度 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]