Medhit Sadia, Ahmad Ayesha, Movaheedi Zabihullah, Naz Munazza, Masood Saadia, Medhet Sara
Department of Statistics, PMAS-University of Arid Agriculture, Rawalpindi, Pakistan.
Department of Mathematics, Faculty of Science, Herat University, Herat, 3001, Afghanistan.
Sci Rep. 2025 Apr 8;15(1):11951. doi: 10.1038/s41598-025-96304-z.
A picture fuzzy soft set (PFSS) is a reliable tool for handling uncertainties in data through three membership degrees: positive, negative, and neutral which is common in real-world applications such as medical diagnoses, financial decisions or risk assessments. Material selection for cryogenic storage tanks used in liquid nitrogen transportation requires accuracy of multiple criteria under uncertainty. This study introduced picture fuzzy soft sets, a specific instance of PFSS, represented by membership and non-membership degrees and refusal. The proposed methodology is applied to rank candidate materials based on essential properties such as thermal conductivity, tensile strength, and cost-efficiency.
图像模糊软集（PFSS）是一种通过正、负、中性三个隶属度来处理数据不确定性的可靠工具，这在医学诊断、金融决策或风险评估等实际应用中很常见。用于液氮运输的低温储存罐的材料选择在不确定性情况下需要多标准的准确性。本研究引入了图像模糊软集，它是PFSS的一个具体实例，由隶属度、非隶属度和拒绝度表示。所提出的方法用于根据热导率、抗拉强度和成本效益等基本属性对候选材料进行排名。
