Picture fuzzy soft set TAOV approach for material selection for cryogenic storage tank for liquid nitrogen transportation
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.
Authors
- Sadia Medhit
- Saadia Masood (ORCID: https://orcid.org/0000-0002-0284-6750)
- Munazza Naz (ORCID: https://orcid.org/0000-0002-0299-2395)
- Zabihullah Movaheedi (ORCID: https://orcid.org/0000-0003-2433-8850)
- Abdul Latif Ahmad (ORCID: https://orcid.org/0000-0003-1612-3032)
- Sara Medhet
Institutions
- Quaid-i-Azam University (PK)
- Pir Mehr Ali Shah Arid Agriculture University (PK)
- Fatima Jinnah Women University (PK)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1038/s41598-025-96304-z
- Citations
- 1
- Primary Topic
- Fuzzy and Soft Set Theory
- Type
- article
- Field-Weighted Citation Impact
- 2.11