Yassine Hmidy

Centre National de la Recherche Scientifique

Papers

Total Citations

H-Index

About

Yassine Hmidy is a mathematician whose work advances the theory and application of interval-valued linear operators, a specialized area within fuzzy set theory and uncertainty quantification. His most-cited paper, "Macsum: A new interval-valued linear operator" (2022), introduces a novel operator that refines how interval-valued data are aggregated, offering improved handling of imprecision in decision-making and computational intelligence. This contribution has already garnered 7 citations, signaling its relevance to researchers working on fuzzy logic, interval analysis, and soft computing. Hmidy’s research bridges theoretical rigor with practical utility, providing tools that enhance the robustness of models dealing with incomplete or vague information. His work is particularly impactful for fields like risk assessment, data fusion, and artificial intelligence, where managing uncertainty is critical. As an emerging voice in this niche, Hmidy’s operator promises to influence future developments in interval-valued systems, making him a researcher to watch for those interested in the mathematical foundations of uncertainty.