International audienceHandling of Imprecision and Uncertainty of Temporaper proposes a general discussion of the handling of imprecise and uncertain information in temporal reasoning in the framework of fuzzy sets and possibility theory. The introduction of fuzzy features in temporal reasoning can be related to different issues. First, it can be motivaied by the need of a gradual, linguistic-like description of temporal relations in face of complete information. This gives birth to a calculus based on fuzzy Allen relations parameterized with a tolerance indicator. Second, the handling of fuzzy or incomplete information leads to pervade classical Allen relations, and more generally fuzzy Allen relations, with uncertainty.Ce papier propose un...
International audienceAbstract In NLG systems, temporal uncertainty in raw data can hamper the infer...
Abstract. When the time span of an event is imprecise, it can be represented by a fuzzy set, called ...
In the past years, the adoption of adaptive systems has increased in many fields of computer science...
International audienceHandling of Imprecision and Uncertainty of Temporaper proposes a general discu...
International audienceThis paper proposes a general discussion of the handling of imprecise and unce...
This paper proposes a general discussion of the handling of imprecise and uncertain information in t...
International audienceThis paper proposes a general and preliminary discussion of the handling of im...
A novel approach to temporal reasoning is proposed which deals with both uncertain facts and uncerta...
This work focuses on the exploitation of temporal data in presence of imperfections. The aim is to d...
When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy ti...
Temporal Constraint Networks are a well-defined, natural and efficient formalism for representing te...
Abstract—This paper proposes a model for fuzzy temporal knowledge representation and reasoning. It i...
In this work we address the problem of representing and reasoning with temporal knowledge in a very ...
International audienceTemporal data given by users are often imprecise. In this paper, we propose an...
In this work we address the problem of representing and reasoning with temporal knowledge in a very ...
International audienceAbstract In NLG systems, temporal uncertainty in raw data can hamper the infer...
Abstract. When the time span of an event is imprecise, it can be represented by a fuzzy set, called ...
In the past years, the adoption of adaptive systems has increased in many fields of computer science...
International audienceHandling of Imprecision and Uncertainty of Temporaper proposes a general discu...
International audienceThis paper proposes a general discussion of the handling of imprecise and unce...
This paper proposes a general discussion of the handling of imprecise and uncertain information in t...
International audienceThis paper proposes a general and preliminary discussion of the handling of im...
A novel approach to temporal reasoning is proposed which deals with both uncertain facts and uncerta...
This work focuses on the exploitation of temporal data in presence of imperfections. The aim is to d...
When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy ti...
Temporal Constraint Networks are a well-defined, natural and efficient formalism for representing te...
Abstract—This paper proposes a model for fuzzy temporal knowledge representation and reasoning. It i...
In this work we address the problem of representing and reasoning with temporal knowledge in a very ...
International audienceTemporal data given by users are often imprecise. In this paper, we propose an...
In this work we address the problem of representing and reasoning with temporal knowledge in a very ...
International audienceAbstract In NLG systems, temporal uncertainty in raw data can hamper the infer...
Abstract. When the time span of an event is imprecise, it can be represented by a fuzzy set, called ...
In the past years, the adoption of adaptive systems has increased in many fields of computer science...