Papers

2

Total Citations

53

H-Index

2

About

Mohammed K. A. Kaabar is a prominent researcher in the fields of applied mathematics, fuzzy decision-making, and intelligent systems engineering. His major contributions include pioneering integrated multi-criteria decision-making (MCDM) frameworks that combine intuitionistic dense fuzzy entropy with COPRAS and WASPAS methods, as demonstrated in his highly cited 2023 work on manufacturing robot selection (35 citations). This approach enables more reliable and nuanced evaluations of complex industrial automation choices under uncertainty. Kaabar has also advanced agricultural technology through his 2021 design and development of an Irrigation Mobile Robot (18 citations), addressing critical water conservation challenges in automated farming systems. His work bridges theoretical fuzzy logic with practical robotics and sustainability applications. With a growing citation impact, Kaabar’s research is recognized for its interdisciplinary relevance, influencing both academic decision theory and real-world engineering solutions. His achievements highlight a commitment to developing innovative, data-driven tools for optimizing resource allocation in manufacturing and agriculture.

Research Focus

Key Achievements

2
H-Index
2
Papers
53
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
An integrated intuitionistic dense fuzzy Entropy-COPRAS-WASPAS approach for manufacturing robot selection
35 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: United Nations Relief and Works Agency for Palestine Refugees in the Near East, Washington State University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago