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基于Vague集的TOPSIS方法及其应用
  • 摘要

    逼近理想解的排序方法(TOPSIS)是求解多属性决策问题的一个典型方法,将TOPSIS方法在Vague集下进行了扩展.介绍了Vague集的概念及其相似度量方法,提出了用Vague值表示的语言术语集.根据Vague值的优势函数定义了Vague正、负理想解.根据Vague值的相似度量定义了各方案到正理想解和负理想解的距离,得出各方案的相对贴近度,并据此排序,供决策者选择最优方案.

  • 作者

    周晓光  张强  胡望斌  ZHOU Xiao-guang  ZHANG Qiang  HU Wang-bin 

  • 作者单位

    北京理工大学,管理与经济学院,北京,100081

  • 刊期

    2005年6期 ISTIC PKU CSSCI

  • 关键词

    Vague集  TOPSIS  相似度量  语言变量 

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