Constructing Lower Probabilities

This work addresses a foundational issue in uncertainty modeling for statisticians and AI researchers, but it appears incremental as it builds directly on existing methods without introducing a new paradigm.

The paper tackles the problem of constructing lower probabilities under various evidentiary constraints by elaborating on Dempster's method for belief functions, resulting in a broadly applicable strategy for this task.