Ranking fuzzy numbers using similarity measure with centroid
Ranking fuzzy numbers using similarity measure with centroid
复制标题
使用质心相似性度量对模糊数进行排名
DOI：
10.1109/cssr.2010.5773849
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
N. Sulaiman
中科院分区：
文献类型：
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作者：
Ahmad Syafadhli Abu Bakar;D. Mohamad;N. Sulaiman
对模糊数的正确排序在决策过程中尤为重要。使用各种方法研究了许多模糊数排序技术。然而，大多数技术都有这样或那样的弱点。本文提出了一种基于质心的相似性度量方法对模糊数进行排序的新方法。我们使用几个模糊数的基准集来比较它与其他现有方法的排名一致性。结果表明，本文提出的方法能够克服其他方法的一些缺点。
Ranking fuzzy numbers correctly is essential especially in decision making process. Many techniques of ranking fuzzy numbers have been investigated using variety of approaches. However, most of the techniques have weaknesses one way or another. In this paper, we propose a new method of ranking fuzzy numbers using similarity measure approach with centroid. We investigate its ranking consistency compares to other existing methods using a few benchmarking sets of fuzzy numbers. It is found that our proposed method is able to overcome some of the weaknesses of other methods.