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基于对称交互熵的多属性决策排序法

卢国祥 李冰清

数学杂志2016,Vol.36Issue(6):1253-1260,8.
数学杂志2016,Vol.36Issue(6):1253-1260,8.

基于对称交互熵的多属性决策排序法

EVALUATION METHOD BASED ON SYMMETRIC CROSS ENTROPY FOR MULTIPLE ATTRIBUTE DECISION MAKING

卢国祥 1李冰清2

作者信息

  • 1. 中南财经政法大学统计与数学学院,湖北武汉 430073
  • 2. 南开大学金融学院,天津 300071
  • 折叠

摘要

Abstract

The evaluation problem for multiple attribute decision making is studied in this paper. By using the symmetric cross entropy which comes from the information entropy theory, a new relative closeness to the ideal solutions is defined. Therefore, a new evaluation method based on symmetric cross entropy for multiple attribute decision making is developed. Finally, the new method is compared with traditional TOPSIS method, angle measure evaluation method and vertical projection method using merical examples and it can obtain more precise results.

关键词

多属性决策/对称交互熵/TOPSIS法/相对贴近度

Key words

multiple attribute decision making/symmetric cross entropy/TOPSIS method/relative closeness

分类

数理科学

引用本文复制引用

卢国祥,李冰清..基于对称交互熵的多属性决策排序法[J].数学杂志,2016,36(6):1253-1260,8.

基金项目

国家自然科学基金项目(71001107 ()

71171119) ()

博士后基金资助项目(2015M571255) (2015M571255)

中央高校基本科研业务费专项资金项目(2722013JC082) (2722013JC082)

数学杂志

OA北大核心CSTPCD

0255-7797

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