Publication details
Conference Paper (Czech conference)
Discounting or Optimizing? Different Approaches to Pseudo-Belief Function Correction
, ,
: Proceedings of the 13th Workshop on Uncertainty Processing (WUPES’25), p. 104-115 , Eds: Studený Milan, Ay Nihat, Capotorti Andrea, Csirmaz László, Jiroušek Radim, Kleiter Gernot D., Shenoy Prakash P.
: Workshop on Uncertainty Processing - WUPES 2025 /13./, (Třešť, CZ, 20250604)
: belief function, learning, computational geometry
: http://library.utia.cas.cz/separaty/2025/MTR/jirousek-0636592.pdf
: https://wupes.utia.cas.cz/2025/Proceedings.pdf#page=113
(eng): We present and compare several approaches for transforming pseudo-belief functions, constructed from Jeffreys confidence intervals on observational data, into proper belief functions. Two main classes of methods are examined: one based on polyhedral geometry using various optimization strategies, and the other employing generalized belief discounting. Finally, the proposed methods are evaluated on real cybersecurity data and compared with standard upper and lower approximations of pseudo-belief.
: BA
: 10102