FYI: interval-related papers on uncertainty in AI are always welcome for this series of conferences
An Interval session
https://www.sbai.uniroma1.it/conferenze/ipmu2026/special_sessions.php#ss-25
has been approve for
the 21st International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems IPMU 2026,
Rome, Italy, June 15-19, 2026
https://www.sbai.uniroma1.it/conferenze/ipmu2026/
DEADLINE FOR SUBMISSIONS JANUARY 12, 2026.
Interval uncertainty is closely related to fuzzy techniques:
indeed, if we want to know how the fuzzy uncertainty of the inputs
propagates through the data processing algorithm, then the usual
Zadeh's extension principle is equivalent to processing alpha-cuts
(intervals) for each level alpha.
This relation between intervals and fuzzy computations is well
known, but often, fuzzy researchers are unaware of the latest most
efficient interval techniques and thus use outdated less efficient
methods. One of the objectives of the proposed session is to help
fuzzy community by explaining the latest interval techniques and to
help interval community to better understand the related interval
computation problems.
Yet another relation between interval and fuzzy techniques is that
the traditional fuzzy techniques implicitly assume that experts can
describe their degree of certainty in different statements by an
exact number. In reality, it is more reasonable to expect experts
to provide only a rage (interval) of possible values – leading to
interval-valued fuzzy techniques that, in effect, combine both
types of uncertainty.