Abdul Bariq

Papers

1

Total Citations

6

H-Index

1

About

Dr. Abdul Bariq has established himself as a rising authority in the field of multi-criteria decision making (MCDM) and fuzzy set theory, with a specialized focus on neutrosophic logic and aggregation operators. His most cited work, "Multiple attribute group decision making approach for selection of robot under induced bipolar neutrosophic aggregation operators" (2023, 6 citations), introduces a novel framework that leverages induced bipolar neutrosophic aggregation operators based on Einstein operations. This contribution addresses critical gaps in handling uncertainty and bipolarity in real-world decision problems, particularly in complex domains like robotics selection. By advancing the theoretical foundations of neutrosophic sets—which capture truth, indeterminacy, and falsity simultaneously—Bariq’s research enables more robust and flexible group decision-making models. His work is notable for bridging abstract mathematical constructs with practical applications, offering engineers and analysts a powerful tool for evaluating alternatives under ambiguous conditions. As an emerging scholar, Bariq’s growing citation record reflects the relevance of his innovations to both academic researchers and industry practitioners seeking to improve decision accuracy in uncertain environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Multiple attribute group decision making approach for selection of robot under induced bipolar neutrosophic aggregation operators
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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