摘要
针对多属性群决策理论的专家和属性赋权问题提出一种专家权重和属性权重协同微调整的方法.本着在尽量保持原始信息的原则,在专家的初始权重上进行逐次微调整,并以每个输入方案为单位确定一次属性的权值,依此方式逐渐进行直到所有数据输入为止,最终得到专家的权值和属性的权值,并依据两种权值获得方案最终排序.以离散数学教学方案评测为例说明此方法的可行性和有效性.
A kind of intermodulation method for the Weights of Attributes and experts in multi-attribute group decision-making determining is proposed, without sacrificing information. The method based on deviation. This paper proposes a slightly adjustment method basing on making appropriate changes to the mean deviation formula and local successive adjustment. In the adjustment process weights of attributes are also being adjusted one object by one object.
出处
《太原师范学院学报（自然科学版）》
2017年第3期66-70,共5页
Journal of Taiyuan Normal University:Natural Science Edition
基金
太原师范学院教学改革项目(JGLX1624)
关键词
多属性
群决策
微调整
离差
multi-attribute
group decision making
slightly adjustment
deviation
