摘要
针对属性权重完全未知且属性值以专家经验给出的多属性决策问题,提出了利用属性重要度计算客观权重的分配方法。根据粗糙集中的相对正域概念,探讨了如何运用属性重要度确定各属性的客观权重。决策者可以通过经验因子的选取来调整客观权重和主观权重所占的比例,通过实例说明该方法更加有效合理。
Aiming at the information about the attribute weights in unknown completely and the attribute values relied on expert experience,the author puts forward an impersonal weights allocation method based on importance of attribute in multi-attribute decision-making.This method discusses how to ascertain the impersonal weights allocation by applying the attribute importance based on the relative positive region conception.Decision maker can choose appropriate experiential factor to regulate impersonal and subjective weight.At last,an example is given out to show more effective and rational than before.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第29期216-217,共2页
Computer Engineering and Applications
基金
浙江省教育厅青年教师资助计划(编号:[2004281])
关键词
粗糙集
权重
属性重要度
rough sets, weights, important of attribute
