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About the Journal
The Journal of Analytical Uncertainty (JAU) is an international, peer-reviewed, multidisciplinary journal devoted to advancing theoretical, computational, and applied research applied research on randomness and uncertainty in decision-making. The journal provides a platform for researchers, academicians, and practitioners working in the diverse domains of mathematics, statistics, and fuzzy sciences to exchange innovative ideas and findings addressing the complexities of uncertain, imprecise, and vague information.
Current Issue
Vol. 1 No. 2 (2026): JAU: June 2026
The articles within this are contributed by 13 authors affiliated with more than 9 institutions from 6 countries including Greece (Independent Scholar); China (Beijing Technology and Business University); Morocco (Regional Center for the Professions of Education and Training); India (Birla Institute of Technology, Science College, Sri Krishna Arts and Science College, Arul Anandar College); Japan (Independent Researcher); Pakistan (National University of Sciences and Technology)
Published:
2026-04-24
