一种新的模糊软集保持常秩约简方法

2020 International Conference on Information Science and Education (ICISE-IE) Pub Date : 2020-12-01 DOI:10.1109/ICISE51755.2020.00065

Xiuqin Ma, Hongwu Qin, Chen Jiang, Xianzhe Han

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引用次数: 0

摘要

模糊软集模型越来越多地应用于处理不确定性问题。本文主要介绍了一种新的模糊软集参数约简方法——保持常秩。该方法经过参数约简后，保证了最终排序结果与原始数据集的排序顺序一致。最后，我们得出结论，该算法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Reduction Method Keeping Constant Rank for Fuzzy Soft Sets

The model of fuzzy soft set is increasingly applied to deal with uncertainty. This paper mainly introduces a new parameter reduction method keeping constant rank for fuzzy soft sets. After parameter reduction, this method guarantees that the final ranking results are in the same order as the original data sets. Finally, we draw a conclusion that the proposed algorithm is efficient.

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2020 International Conference on Information Science and Education (ICISE-IE)

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