Dr. Demmelash Mollalign Moges | Mathematics | Editorial Board Member
Dr. Demmelash Mollalign Moges | Hawassa University | Ethiopia
Dr. Demmelash Mollalign Moges is a dedicated researcher in the field of optimization, with extensive contributions to intuitionistic fuzzy systems, multi-objective decision models, and fractional programming. His work focuses on developing advanced mathematical frameworks that address complex real-world optimization challenges, particularly those involving uncertainty, multi-level decision structures, and competing objectives. He has produced influential research on intuitionistic fuzzy multi-objective linear fractional optimization, proposing new methods that have been successfully applied to agricultural land allocation and transportation systems. His studies extend to multi-objective multilevel programming, where he has introduced two-phase intuitionistic fuzzy goal programming approaches capable of handling hierarchical decision environments. Dr. Moges has also advanced the application of neutrosophic parameters within multilevel multi-objective fractional optimization, offering efficient algorithms that improve model robustness under indeterminate conditions. His contributions include compensatory intuitionistic fuzzy mathematical techniques for solving decentralized bi-level decision-making problems, broadening the applicability of fuzzy-based optimization in distributed systems. Beyond theoretical developments, he has collaborated on interdisciplinary research, including the design of an optimized YOLO NAS-based framework for real-time object detection, demonstrating his versatility and ability to apply analytical principles to modern computational challenges. His published works in leading journals such as Information Sciences, Journal of Computational Science, and Expert Systems with Applications highlight his consistent engagement with high-impact research that enhances the understanding and applicability of fuzzy optimization, multi-objective fractional models, and advanced decision-making methodologies. Through his continuous efforts, Dr. Moges contributes to shaping the evolving landscape of optimization theory and its practical implementation across diverse problem domains.
Featured Publications
Moges, D. M., Mushi, A. R., & Wordofa, B. G. (2023). A new method for intuitionistic fuzzy multi-objective linear fractional optimization problem and its application in agricultural land allocation problem. Information Sciences, 625, 457–475.
Mollalign, D., Mushi, A., & Guta, B. (2022). Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method. Journal of Computational Science, 63, 101786.
Moges, D. M., & Wordofa, B. G. (2024). An efficient algorithm for solving multilevel multi-objective linear fractional optimization problem with neutrosophic parameters. Expert Systems with Applications, 257, 125122.
Moges, D. M., Wordofa, B. G., & Mushi, A. R. (2023). Solving multi-objective linear fractional decentralized bi-level decision-making problems through compensatory intuitionistic fuzzy mathematical method. Journal of Computational Science, 71, 102075.
Gupta, C., Gill, N. S., Gulia, P., Kumar, A., Karamti, H., & Moges, D. M. (2025). An optimized YOLO NAS based framework for realtime object detection. Scientific Reports, 15(1), 32903.