Muhammad Qiyas
Papers
1
Total Citations
16
H-Index
1
About
Dr. Muhammad Qiyas is a leading researcher in the field of decision science and fuzzy logic, with a particular focus on developing advanced mathematical models to handle uncertainty in complex real-world problems. His work centers on multi-criteria decision-making (MCDM), picture fuzzy sets, and linguistic aggregation operators, where he has introduced innovative frameworks that significantly enhance flexibility and precision in evaluating ambiguous or subjective information. One of his most notable contributions is the development of 2-tuple picture fuzzy linguistic aggregation operators, which allow for more nuanced and reliable decision-making in scenarios where traditional fuzzy sets fall short. This work, published in 2019 and cited 16 times, has been applied to practical challenges such as robot selection, demonstrating its real-world utility. Dr. Qiyas’s research is highly regarded for bridging theoretical advances in fuzzy mathematics with tangible applications in engineering and technology management. His contributions continue to influence scholars and practitioners seeking robust tools for tackling uncertainty in decision environments.
Research Focus
Key Achievements
Top Papers
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