J4 ›› 2014, Vol. 41 ›› Issue (6): 118-125.doi: 10.3969/j.issn.1001-2400.2014.06.020

• 研究论文 • 上一篇    下一篇

一种改进的多目标决策指标权重计算方法

郭金维;蒲绪强;高祥;张永安   

  1. (西安电子科技大学 机电工程学院,陕西 西安  710071)
  • 收稿日期:2013-07-27 出版日期:2014-12-20 发布日期:2015-01-19
  • 通讯作者: 郭金维
  • 作者简介:郭金维(1979-), 男, 副教授, 西安电子科技大学博士研究生, E-mail: jw_guo525@126.com.
  • 基金资助:

    国家863计划资助项目(2008AA04Z109);国家自然科学基金资助项目(61074035,61403295);中央高校基本科研业务费专项资金资助项目(K50511040006,JB140416,7214468806);陕西省自然科学基础研究计划资助项目(2012JM8038)

Improved method on weights determination of indexes in multi-objective decision

GUO Jinwei;PU Xuqiang;GAO Xiang;ZHANG Yongan   

  1.  (School of Mechano-electronic Engineering, Xidian Univ., Xi'an  710071, China)
  • Received:2013-07-27 Online:2014-12-20 Published:2015-01-19
  • Contact: GUO Jinwei

摘要:

在多目标决策中,通常都涉及到指标权重的计算问题.针对现有权重计算方法中存在的不足,提出了一种改进的熵权层次分析法.该方法将熵权法和层次分析法的中间过程相结合,将熵权法的底层指标客观权重与层次分析法的子准则主观权重对应结合后,再与上层指标权重综合,归一化后得到最终的指标权重.结果表明,求得的权重具有更高的可信度.

关键词: 多目标决策, 层次分析法, 熵权法

Abstract:

In multi-objective decision, the problem of computing the weights of the indexes is usually considered In view of the shortcomings in the existing techniques, this paper proposes an improved weights determination method by the efficient combination of the entropy weight method (EWM) and the analytic hierarchy process (AHP). In the presented method, the amalgamation is firstly carried out between the objective weights of underlying indexes by EWM and the subjective weights of indexes on the sub-criterion level by AHP. The obtained weights of indexes are synthesized subsequently with the weights of upper indexes. After normalization, the final weights of indexes are obtained. The results show that the final weights by this presented method have higher reliability.

Key words: multi-objective decision, analytic hierarchy process, entropy weight method

中图分类号: 

  • TP29