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» Possibilistic Stable Model Computing
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NMR
2004
Springer
13 years 10 months ago
A possibilistic approach to restore consistency in answer set programming
In Answer Set Programming it is not possible to deduce any conclusion from an inconsistent program (ie: a program that has no model). The same issue occurs in classical logic wher...
Pascal Nicolas, Laurent Garcia, Igor Stépha...
ECSQARU
2005
Springer
13 years 11 months ago
A Possibilistic Inconsistency Handling in Answer Set Programming
Abstract. Both in classical logic and in Answer Set Programming, inconsistency is characterized by non existence of a model. Whereas every formula is a theorem for inconsistent set...
Pascal Nicolas, Laurent Garcia, Igor Stépha...
EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Type-II Fuzzy Possibilistic C-Mean Clustering
Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...
KR
2004
Springer
13 years 10 months ago
Updating of a Possibilistic Knowledge Base by Crisp or Fuzzy Transition Rules
In this paper, partial knowledge about the possible transitions which can take place in a dynamical environment is represented by a set of pairs of propositional formulae, with th...
Boris Mailhé, Henri Prade
CORR
2002
Springer
117views Education» more  CORR 2002»
13 years 5 months ago
Computing stable models: worst-case performance estimates
Abstract. We study algorithms for computing stable models of propositional logic programs and derive estimates on their worst-case performance that are asymptotically better than t...
Zbigniew Lonc, Miroslaw Truszczynski