M. Gospodarczyk

Papers

Total Citations

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About

M. Gospodarczyk’s research lies at the intersection of group decision support systems, fuzzy multiple-criteria decision-making (MCDM), and robotic control. Their most significant contribution is the development of **ELIGERE**, an open-source distributed software platform that applies the fuzzy Analytical Hierarchy Process (AHP) to engineering design and group selection problems. This work, published in 2017 and garnering 17 citations, provides a practical, transparent tool for ranking alternatives under uncertainty, enabling collaborative decisions across distributed teams. Complementing this, their 2016 study on distributed information systems in MCDM (7 citations) formalizes the architecture behind ELIGERE, demonstrating how decentralized computation can enhance decision quality. In a different vein, Gospodarczyk has also advanced repetitive learning control for robotics, experimentally validating an algorithm that achieves asymptotic joint position tracking for manipulators performing periodic tasks (6 citations, 2018). This work, featuring a recursive period identifier, addresses real-world synchronization challenges. Together, these contributions showcase a versatile researcher bridging theoretical MCDM frameworks with deployable software and practical robotic control, making their work valuable for engineers and decision scientists alike.