Uncertainty Discourse and Applications

About the Journal

Uncertainty Discourse and Applications (UDA) is a peer-reviewed interdisciplinary journal that treats uncertainty as a fundamental feature of scientific inference, computation, and decision-making. It publishes theoretical, methodological, and applied research on how uncertain, incomplete, ambiguous, noisy, or conflicting information is characterized, represented, quantified, propagated, and incorporated into models, predictions, and decisions. Rather than treating uncertainty merely as noise to be removed, UDA examines it as a structural feature of knowledge, systems, and action.

The journal welcomes foundational research on fuzzy, intuitionistic, type-2, rough, hyperrough, soft, neutrosophic, stochastic, probabilistic, evidential, interval-valued, and related representations, as well as conformal prediction and other approaches to uncertainty quantification. It also welcomes research linking these foundations with machine learning, forecasting under missingness or distribution shift, data quality, information fusion, optimization, scheduling, control, monitoring, and decision support. Applications may include engineering and energy systems, environmental and climate science, smart infrastructure, operations and supply chains, finance, bioprocesses, and other settings in which uncertainty materially affects analysis or action.

UDA publishes original research articles, methodological contributions, and critical review articles. It values clear problem formulation, explicit assumptions, mathematically or empirically appropriate validation, meaningful baselines where applicable, reproducible methods, and conclusions calibrated to the evidence. Both foundational and applied submissions are welcome when their contribution to the science of uncertainty is explicit.