Logic programs with ordered disjunction have shown to be a flexible specification language able to model common user preferences in a natural way. However, in some realistic scenarios the preferences should be linked to the evidence of the information when trying to reach a single preferred solution. In this paper, we extend the syntax and the semantics of logic programs with ordered disjunction in order to cope with uncertain information. In particular, we define a possibilistic semantics for capturing possibilistic ordered disjunction programs. We use a simple example to explain the approach and outline an application scenario showing the benefits of possibilistic ordered disjunction
International audiencePossibilistic logic is a weighted logic that handles uncertain...
Possibilistic logic provides a convenient tool for dealing with inconsistency and handling uncertain...
The representation of preference queries to an uncertain data-base requires a framework capable of d...
Abstract. In this paper by considering an answer set programming approach and some basic ideas from ...
Abstract. In this paper by considering answer set programming approach and some basic ideas from pos...
We define a possibilistic disjunctive logic programming approach for modeling uncertain, incomplete ...
Abstract. In this paper we define the semantics for capturing possi-bilistic ordered disjunction pro...
Logic programs with possibilistic ordered disjunction (or LPPODs) are a recently defined logic-progr...
This paper presents an approach for specifying user preferences related to services by means of a pr...
This paper presents an approach for specifying user preferences related to services by means of a pr...
International audienceIn many applications, the reliability relation associated with available infor...
International audienceIn many applications, the reliability relation associated with available infor...
International audienceIn many applications, the reliability relation associated with available infor...
International audienceIn many applications, the reliability relation associated with available infor...
Logic programs with possibilistic ordered disjunction (or LPPODs) are a recently defined logic-progr...
International audiencePossibilistic logic is a weighted logic that handles uncertain...
Possibilistic logic provides a convenient tool for dealing with inconsistency and handling uncertain...
The representation of preference queries to an uncertain data-base requires a framework capable of d...
Abstract. In this paper by considering an answer set programming approach and some basic ideas from ...
Abstract. In this paper by considering answer set programming approach and some basic ideas from pos...
We define a possibilistic disjunctive logic programming approach for modeling uncertain, incomplete ...
Abstract. In this paper we define the semantics for capturing possi-bilistic ordered disjunction pro...
Logic programs with possibilistic ordered disjunction (or LPPODs) are a recently defined logic-progr...
This paper presents an approach for specifying user preferences related to services by means of a pr...
This paper presents an approach for specifying user preferences related to services by means of a pr...
International audienceIn many applications, the reliability relation associated with available infor...
International audienceIn many applications, the reliability relation associated with available infor...
International audienceIn many applications, the reliability relation associated with available infor...
International audienceIn many applications, the reliability relation associated with available infor...
Logic programs with possibilistic ordered disjunction (or LPPODs) are a recently defined logic-progr...
International audiencePossibilistic logic is a weighted logic that handles uncertain...
Possibilistic logic provides a convenient tool for dealing with inconsistency and handling uncertain...
The representation of preference queries to an uncertain data-base requires a framework capable of d...