模糊评价中最大隶属度原则有效性检验  

The Effectiveness Test of the Maximum Membership Principle in Fuzzy Comprehensive Evaluation

作　　者：朱小飞[1] 王永君[2] 李大军[1] 

机构地区：[1]东华理工大学流域生态与地理环境监测国家测绘地理信息局重点实验室,江西南昌330013 [2]南京师范大学虚拟地理环境教育部重点实验室,江苏南京210023

出　　处：《测绘与空间地理信息》2016年第5期135-137,143,共4页Geomatics & Spatial Information Technology

摘　　要：模糊综合评价过程中,针对评语集B的处理通常采用最大隶属度原则,引入最大隶属度原则有效度指标,判断评价结果的有效性。实验结果表明,最大隶属度原则并不是普遍适用,存在失效问题,针对可能存在的失效问题,通过对隶属度的定量化描述,能得到更为合理的评判结果,弥补最大隶属度原则的不足。In the process of the fuzzy comprehensive evaluation,usually,the handle of evaluation sets is based on maximum membership principle,we use the Effective index of maximum membership principle to estimate the effectiveness of the evaluation results. The experimental results show that maximum membership principle is not universal,has some shortcomings. According to the shortcomings,through the quantitative description of membership degree,can get a more reasonable evaluation result and make up for the shortage of the maximum membership principle.

关 键 词：模糊评价 最大隶属度原则 最大隶属度原则有效度 质量评价 

分 类 号：P208[天文地球—地图制图学与地理信息工程]