Ariana Abdul Rahimzai
University of Shimane, Lagos State Health Service Commission
Papers
2
Total Citations
3
H-Index
1
About
Ariana Abdul Rahimzai is an emerging researcher working at the intersection of fuzzy mathematics, decision-making theory, and intelligent systems. Her work focuses on the development and application of advanced fuzzy set frameworks — particularly fractional fuzzy soft sets — to solve complex real-world selection and optimization problems. A central theme across her research is the enhancement of classical fuzzy models, which she addresses by extending membership and non-membership representations beyond traditional rigid boundaries, enabling more nuanced and accurate modeling of uncertainty. Her most notable contributions include pioneering the use of Hamacher aggregation operators within fractional fuzzy soft set environments for agricultural robot selection, a timely contribution given growing global interest in smart farming and autonomous agricultural systems. She has also advanced decision-making methodologies for industrial robot selection through fractional continuous fuzzy information, addressing longstanding limitations in classical fuzzy approaches. These works collectively demonstrate her commitment to bridging abstract mathematical theory with pressing technological challenges, particularly in robotics and digital agriculture. Though early in her career, with her most-cited works from 2025 accumulating initial recognition, Rahimzai's research signals a promising trajectory in computational intelligence and multi-criteria decision-making, making her a researcher to watch in the rapidly evolving field of applied fuzzy systems.
Research Focus
Key Achievements
Top Papers
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