摘要
针对已有模糊综合评判方法存在的问题,提出了一种基于最小隶属度加权平均偏差法的改进方法。该方法能在权重信息确定或不确定的情况下得出正确的结果,避免模糊综合评判中的不合理现象,实例分析也证明了该方法的有效性和可行性。
For the problems of fuzzy comprehensive evaluation, an improved method is proposed which is based on the deviation method of minimum membership degree with weighted proportional means. This improved method not only gives right conclusion, but can effectively avoid irrational condition. Examples illustrate the va- lidity and feasibility of this method.
出处
《重庆工商大学学报（自然科学版）》
2005年第5期453-456,共4页
Journal of Chongqing Technology and Business University:Natural Science Edition
关键词
模糊综合评判
改进模型
最小隶属度
加权平均
偏差法
fuzzy comprehensive
evaluation
improved method
minimum membership degree
weighted proportional means
deviation method
