多值粗糙中性集和矩阵在多准则决策中的应用

IF 0.4 Q4 MATHEMATICS, APPLIED
Donbosco Jeni Seles Martina, Ganesan Deepa
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引用次数: 0

摘要

粗糙集概念是一种面向关系数据库的信息处理方法。它是与模糊集理论密切相关的一个独特的不确定性数学课题。当粗糙集与中性集理论相结合时,就产生了一种处理不确定性的有效工具。在本研究中,我们定义了一个多值粗糙嗜中性集合和一个多值粗糙嗜中性矩阵。采用分离方法,对具有粗糙结构的多值中性粒细胞提出了一种新的分离方法。我们考虑的问题是确定在某一医院中受登革热影响的病人的状况。使用这种方法,我们创建了一个多值粗略的中性粒细胞决策矩阵,该矩阵清楚地显示了患者病情和症状之间的关系。我们可以通过解决这个问题并将其呈现在图表上来确定哪个人的病情严重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of multi-valued rough neutrosophic set and matrix in multi-criteria decision-making
Rough set concept is a methodology of information processing for relational databases. It is a unique uncertainty mathematics topic closely connected to fuzzy set theory. When the rough set is combined with neutrosophic set theory, an effective tool for working with indeterminacy arises. In this study, we defined a multi-valued rough neutrosophic set and a multi-valued rough neutrosophic matrix. Using separation measures, we introduced a new approach for a multi-valued neutrosophic with a rough structure. We consider the problem of determining the condition of dengue-affected patients in a specific hospital. Using this method, we create a multi-valued rough neutrosophic decision matrix that clearly displays the relationship between patient conditions and symptoms. We can determine which one has a serious condition by solving this problem and presenting it on the graph.
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来源期刊
CiteScore
1.40
自引率
0.00%
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0
审稿时长
21 weeks
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