基于主客观偏差的灰色多属性决策方法

本文探讨了决策者有偏好、方案的属性值为区间灰数及属性权重完全未知的灰色多属性决策问题,提出了解决这种灰色决策问题的方法与算法.对于属性权重完全未知,提出了确定属性权重的基于主观与客观偏差的最小化优化模型.该决策方法既利用了客观信息,又尽可能地满足决策者的主观愿望.文中实例分析说明了所提出的灰色关联决策方法的合理性及其算法的有效性.

Grey Multiple Attribute Decision-Making Method Based on between Subjective and 0bjective Deviation

This article discusses the decision-makers have a preference program for the property value between gray and a few attributes weight completely unknown gray multi-attribute decision-making, a gray decision-making to resolve this problem with the algorithm. The full weight of the unknown property, put forward the property to determine the weight of bias based on the subjective and objective of minimizing the optimization model. The decision-making method is the use of objective information, as much as possible to meet the aspirations of the subjective decision-makers. The article describes the analysis of the examples raised by the gray relation of the reasonableness of the decision-making method and its effectiveness.