摘要
文章针对现有均值法未考虑偏斜度的不足,结合多属性群决策问题,提出一种新的序数均值组合决策方法。基于偏斜度的性质,分析决策者偏斜度偏好对排序的影响;根据不同决策方式和群体意见集结步骤,采用6种方法确定方案的初次排序,再利用改进均值法组合初次排序结果,确定方案最终排序。最后,以供应商选择算例进行说明和应用。
In view of the current mean-value method without consideration of skewness degree, this paper combines with a new group decision-making method with multi attributes to present a new ordinal mean-value combination decision-making method. Based on the property of skewness, the paper analyzes the influence of decision-makers＇ skewness preference on sequencing. According to the different decision-making methods and the gathering steps of the group opinions, the paper adopts 6 methods to determine the first-time sequencing of each scheme, and then uses the improved mean-value method to get the final sequencing result. Finally, supplier selection is taken for example to explain and illustrate the application.
出处
《统计与决策》
CSSCI
北大核心
2017年第15期39-42,共4页
Statistics & Decision
基金
国家自然科学基金资助项目(71172101
61473118)
湖南省自然科学基金资助项目(2015JJ2074)
湖南省教育厅科研项目(15C0635)
湖南省高校创新平台开放基金资助项目(13K102)
关键词
多属性决策
均值法
排序
偏斜度
供应商选择
multi-attribute decision-making
mean-value method
sequencing
skewness
supplier selection
