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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

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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