ORCID
Nabil M. AbdelAziz: https://orcid.org/0000-0001-6181-097X
Khalid A. Eldrandaly: https://orcid.org/0000-0003-0802-5563
Amira M. Fawzy: https://orcid.org/0000-0002-8958-9928
Gehan A. Fouad: https://orcid.org/0009-0004-0543-1122
Safa Al-Saeed: https://orcid.org/0000-0001-9501-1121
Article Type
Research Article
Abstract
This study introduces an innovative approach to desertification susceptibility mapping by integrating q-rung orthopair fuzzy sets (Q-ROFS) with a neutrosophic environment. Conducted in Matrouh, Egypt, the research quantifies desertification risk through advanced modeling techniques that address uncertainty and non-linearity in environmental data. The Q-ROFS framework enhances risk prediction by capturing complex relationships among desertification indicators. Neutrosophic logic, meanwhile, effectively addresses imprecision and ambiguity. The resulting susceptibility map clearly distinguishes between vulnerable and non-vulnerable regions, offering valuable guidance for policymakers and planners. The analysis revealed that approximately 79.98% of the study area falls under moderate susceptibility, 14.27% under high susceptibility, and only 5.75% under low susceptibility. These findings underscore the urgent need for sustainable interventions, especially in areas with moderate to high risk. A detailed sensitivity analysis further validated the model’s robustness and clarified the influence of individual factors on susceptibility outcomes, strengthening the credibility of the results.
Keywords
Desertification susceptibility, Mapping, Q-rung orthopair fuzzy sets, Neutrosophic
How to Cite
AbdelAziz, Nabil M.; A. Eldrandaly, Khalid; M. Fawzy, Amira; A. Fouad, Gehan; and Al-Saeed, Safa (2025) "A Neutrosophic and Q-Rung Orthopair Fuzzy Sets Approach for Desertification Susceptibility Mapping: A Case Study in Matrouh, Egypt," Neutrosophic Systems with Applications: Vol. 25: Iss. 6, Article 1.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.