基于可能性区间值中性软设置AO的混合综合决策算法

Yousef Al Al-Qudah, Faisal Al Al-Sharqi, Muthanna Mishlish, Maha M. Rasheed
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引用次数: 0

摘要

区间值中性软集的思想是将区间值中性软集和软集的关键特征结合在一个模型上,将中性软集推广到中性集。因此,该模型为决策者在解释不确定信息的过程中提供了更大的灵活性。从科学的角度来看,评估这种高性能IVNSS的过程消失了。因此,在本文中,我们提出了一种新的方法,称为可能区间值中性软集(pivnss),作为模糊软计算环境中的一种新发展。我们研究了pivnss的一些基本运算及其基本性质。此外,我们还研究了两个pivnss之间的AND和OR操作以及几个数值示例来阐明上述基本操作。最后,我们给出了聚合运算符(AO)来构造一个新的算法,该算法用于演示该方法在处理一些实际应用程序中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid integrated decision-making algorithm based on AO of possibility interval-valued neutrosophic soft settings
The idea of interval-valued neutrosophic soft sets (IVNSSs) is a new generalization of the neutrosophic soft sets to the neutrosophic sets when the authors combine the critical features of IVNS and soft sets (SSs) in one model. Accordingly, this model worked to provide decision-makers with more flexibility in the process of interpreting uncertain information. From a scientific point of view, the process of evaluating this highperformance IVNSS disappears. Therefore, in this paper, we initiated a new approach known as possibility interval-valued neutrosophic soft sets (PIVNSSs) as a new development in a fuzzy soft computing environment. We investigate some fundamental operations on PIVNSSs along with their basic properties. Also, we investigate AND and OR operations between two PIVNSSs as well as several numerical examples to clarify the above fundamental operations. Finally, we have given aggregation operators (AO) to construct a new algorithm that is used to demonstrate the effectiveness of the method in handling some real-life applications.
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