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基于关联犹豫模糊信息的TOPSIS多属性决策方法 被引量:1

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摘要 文章针对属性值为犹豫模糊信息,且属性关联的多属性决策问题,提出了一种TOPSIS多属性决策方法。首先利用模糊测度对犹豫模糊信息的属性权重进行建模;然后,定义方案到理想解与负理想解的距离,进而计算各方案到理想解的相对贴近度,并依据其大小,对方案进行排序择优。最后通过算例说明了该方法的有效性。
出处 《统计与决策》 CSSCI 北大核心 2018年第17期66-69,共4页 Statistics & Decision
基金 湖南省自然科学基金资助项目(2015JJ2047)
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