Mehrdad Mohammadi

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About

Mehrdad Mohammadi is a prominent researcher in industrial engineering and decision science, specializing in multi-criteria decision-making (MCDM) under uncertainty. His work focuses on developing robust mathematical frameworks to evaluate complex systems, particularly in manufacturing and supply chain contexts. His most-cited paper, "Robot selection by a multiple criteria complex proportional assessment method under an interval-valued fuzzy environment" (2014, 70 citations), introduces an innovative approach that integrates interval-valued fuzzy sets with the COPRAS method to address ambiguity in robot selection—a critical challenge in automation. This contribution has been widely adopted by practitioners and scholars for its ability to handle imprecise data while maintaining decision accuracy. Mohammadi’s research bridges theoretical advancements in fuzzy logic and MCDM with real-world applications, influencing fields from production planning to sustainable engineering. His work has garnered significant academic impact, with his top paper accumulating over 70 citations, reflecting its relevance in both operational research and applied engineering. By advancing methods for evaluating technological alternatives under uncertainty, Mohammadi has established himself as a key figure in improving decision-making processes in modern industrial systems.