Shumaiza
Papers
1
Total Citations
26
H-Index
1
About
Shumaiza is a rising figure in the field of fuzzy decision science, whose work is reshaping how complex, uncertain information is modeled in multi-criteria decision-making (MCDM). Her primary research centers on advancing fuzzy set theory, particularly through the development and application of q-rung picture fuzzy sets—a powerful hybrid extension that combines the flexibility of q-rung orthopair fuzzy sets with the expressive capacity of picture fuzzy sets. Her most-cited paper, "Multi-criteria decision-making methods based on q-rung picture fuzzy information" (2021, 26 citations), introduces novel aggregation operators and decision frameworks that overcome the limitations of prior models by leveraging the parameter \( q \) and three independent membership degrees. This work has provided researchers and practitioners with a more robust toolkit for handling ambiguous, contradictory data in fields ranging from engineering to economics. Shumaiza’s contributions are gaining traction for their theoretical depth and practical applicability, marking her as an emerging voice in the ongoing evolution of fuzzy logic and decision analysis.
Research Focus
Key Achievements
Top Papers
- 1