Muhammad Akram
Papers
8
Total Citations
210
H-Index
8
About
Muhammad Akram is a prolific researcher whose work sits at the intersection of fuzzy set theory, multi-criteria decision-making (MCDM), and intelligent systems. His scholarship has focused on developing and extending sophisticated fuzzy mathematical frameworks — including T-spherical fuzzy sets, q-rung orthopair fuzzy sets, and picture fuzzy sets — to address complex real-world decision problems in engineering, manufacturing, and robotics. Akram's most influential contribution, an integrated rough ELECTRE II approach for risk evaluation in automatic manufacturing processes (2021, 61 citations), exemplifies his ability to translate theoretical advances into practical industrial applications. His subsequent work extended established MCDM methods such as CODAS, VIKOR, and PROMETHEE into richer fuzzy environments, enabling more nuanced and reliable decision-making under uncertainty. Notable applications include arc welding robot selection, robot butler evaluation, and automated process risk analysis — domains where precise yet flexible modeling is critical. Across his portfolio, Akram consistently bridges mathematical rigor with engineering relevance, earning over 200 combined citations on these works alone. His contributions have meaningfully expanded the toolkit available to researchers and practitioners grappling with ambiguity, vagueness, and linguistic imprecision in high-stakes decisions, cementing his reputation as a leading voice in applied fuzzy decision science.
Research Focus
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