COVID-19 Decision-Making Model using Extended Plithogenic Hypersoft Sets with Dual Dominant Attributes

N. Martin, F. Smarandache, Broumi Said
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引用次数: 5

Abstract

Plithogenic Hypersoft set is the multi-argument function with plithogenic universe of discourse and single dominant attribute value. The theory of plithogenic sets deals with the attributes and it is of the form (P, a, V, d, c) characterized by the degree of appurtenance and contradiction. This paper introduces the approach of plithogenic hypersoft sets with two independent dominant attribute values pertaining to each attribute to handle the dual system of decision making. The proposed decision-making model is validated with the data of the present COVID -19 pandemic situations. The objective of the model is to rank the patients being identified as asymptotic and affected using the Frequency Matrix Multi Attributes Decision-making system. Combined plithogenic hypersoft representations of the degree of appurtenance between the patients and the attribute values make the decision-making model more comprehensive and feasible. The developed model can be extended to another decision-making environment with various forms of the degree of appurtenance.
基于双优势属性的扩展Plithogenic Hypersoft Sets的COVID-19决策模型
上生超软集是具有上生话语域和单一主导属性值的多参数函数。上生集理论研究的是属性,它的形式为(P, a, V, d, c),其特征是附属性和矛盾性。本文介绍了具有两个独立的主导属性值的多生超软集的方法来处理决策的对偶系统。利用当前COVID -19大流行的数据对所提出的决策模型进行了验证。该模型的目标是使用频率矩阵多属性决策系统对被识别为渐近且受影响的患者进行排序。结合多基因超软表示患者与属性值之间的依附度,使决策模型更加全面和可行。所建立的模型可以扩展到具有不同程度附属性的其他决策环境中。
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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