计算机工程与应用2011，Vol.47Issue(35)：232-233,236,3.DOI:10.3778/j.issn.1002-8331.2011.35.065
一种部分权重信息下两阶段多属性决策方法
Two-step method for multi-attribute decision-making under partial weight information
何霞 1刘卫锋1
作者信息
- 1. 郑州航空工业管理学院数理系,郑州450015
- 折叠
摘要
Abstract
The multi-attribute decision making problems that the attribute weights (interval numbers) are partly known and the attribute values are numeric are investigated.By building single-goal linear programming models, locally optimal weight vectors of alternatives are respectively obtained.According to minimize deviation of globally optimal weight vector and locally optimal weight vector, goal-programming model are established, then by solving the single goal-programming that transferred goal-programming model obtained above into, globally optimal weight vector is obtained in this paper.And a new method based on two-step goal-programming model for multi-attribute decision-making is proposed.Finally,a practical example is given to illustrate that the method is feasible and effective.关键词
多属性决策/目标规划/权重向量/排序Key words
multi-attribute decision-making/goal programming/weight vector/ranking priority分类
数理科学引用本文复制引用
何霞,刘卫锋..一种部分权重信息下两阶段多属性决策方法[J].计算机工程与应用,2011,47(35):232-233,236,3.
