Shariq Aziz Butt
Papers
1
Total Citations
17
H-Index
1
About
Shariq Aziz Butt is a rising researcher whose work sits at the intersection of decision science, fuzzy logic, and industrial automation. His primary research focuses on developing advanced multi-criteria decision-making (MCDM) frameworks to solve complex engineering selection problems under uncertainty. Butt’s most notable contribution is a hybrid CRITIC-VIKOR method integrated with probabilistic uncertain linguistic q-rung orthopair fuzzy sets, designed to streamline the challenging process of selecting industrial robots. This novel approach, published in 2024, has already garnered 17 citations, signaling its immediate impact on the field. By addressing the ambiguity and complexity inherent in evaluating robot specifications, Butt’s work provides a robust, mathematically rigorous tool for decision-makers in manufacturing and automation. His research bridges theoretical fuzzy set advancements with practical industrial applications, offering a clear pathway for more efficient and objective technology selection. As an emerging scholar, Butt’s innovative methodology positions him as a key contributor to the ongoing evolution of intelligent decision support systems in engineering.
Research Focus
Key Achievements
Top Papers
- 1