摘要
针对属性权重完全求知且属性值以连续值形式给出的无决策属性的多属性决策问题,提出了利用属性重要性来进行客观权重的分配方法。该方法根据模糊聚类技术与粗糙集中的相对正域理论,论述了如何从客观数据中根据属性重要性确定各属性的客观权重。通过实例说明了该方法的合理性和有效性。
An impersonal weights allocation method based on importance for multi-attribute decision making without decision attribute is proposed in this paper, in which the information about the attribute weights in unknown completely and the attribute values are in the forms of continuous numbers. This method presents how to abstract the impersonal weights allocation from external data according to the attribute importance by using the fuzzy aggregation theory and the relative postive region in rough set theory in detail. And at last, an example is given out to show the rationality and effectiveness of this method.
出处
《系统工程理论方法应用》
2004年第3期203-207,共5页
Systems Engineering Theory·Methodology·Applications
基金
国家自然科学基金资助项目(702702022)
关键词
模糊聚类
粗糙集
权重分配
fuzzy aggregation
rough set
weights allocation