Original title:
Possibilistic Laws of Large Numbers
Authors:
Kramosil, Ivan Document type: Papers Conference/Event: WUPES 2003. Workshop on Uncertainty Processing /6./, Hejnice (CZ), 2003-09-24 / 2003-09-27
Year:
2003
Language:
eng Abstract:
We consider sequences of samples defined on spaces endowed by a possibilistic measure, looking for relatively small sets of such sequences which are important or interesting, in a sense, and which occur with possibility degree equal to one or tending to one with the length of the sample sequence increasing.
Keywords:
Bayesian networks; belief functions; expert systems; possibility measures; uncertainty processing Project no.: AV0Z1030915 (CEP), OC 274.001, Action 274 TARSKI Funding provider: GA MŠk, COST Host item entry: Proceedings of 6th Workshop on Uncertainty processing, ISBN 80-245-0546-0
Institution: Institute of Computer Science AS ČR
(web)
Document availability information: Fulltext is available in the digital repository of the Academy of Sciences. Original record: http://hdl.handle.net/11104/0125270