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About

Dr. Ali Ghodratnama is a distinguished researcher in industrial engineering and operations research, whose work lies at the intersection of fuzzy decision-making, robotics, and production scheduling. His pioneering contributions center on developing advanced multi-criteria decision-making (MCDM) methods under uncertainty, particularly through interval-valued fuzzy environments. His most influential work, "Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method" (2012, 85 citations), introduced a novel framework that has become a cornerstone for handling imprecise information in complex selection problems. Building on this, his 2014 paper on robot selection using the complex proportional assessment method under interval-valued fuzzy environments (70 citations) provided industry with a robust tool for automating manufacturing decisions. More recently, Dr. Ghodratnama has tackled the challenging domain of hybrid flow shop scheduling with robots and fuzzy maintenance times, publishing a bi-objective mathematical model in 2023 that addresses real-world production uncertainties. His cumulative citation impact—exceeding 170 citations across his key works—reflects the practical relevance of his research. By bridging soft computing with operational efficiency, Dr. Ghodratnama continues to shape how engineers and managers optimize systems under ambiguity, making his work essential reading for students and researchers in fuzzy logic, robotics, and production planning.