International audiencePossibilistic logic offers a qualitative framework for representing pieces of information associated with levels of uncertainty of priority. The fusion of multiple sources information is discussed in this setting. Different classes of merging operators are considered including conjunctive, disjunctive, reinforcement, adaptive and averaging operators. Then we propose to analyse these classes in terms of postulates. This is done by first extending the postulate for merging classical bases to the case where priorites are avaialbe
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
Invited papers covering the current research in the fields of measurement and information acquisitio...
International audienceThe problem of merging multiple sources information is central in many informa...
International audienceThe problem of merging multiple sources information is central in many informa...
International audienceThe problem of merging multiple sources information is central in many informa...
International audienceThe problem of merging multiple sources information is central in many informa...
Belief merging is an important but difficult problem in Artificial Intelligence. This prob-lem becom...
Abstract. In this paper, we compare merging operators in possibilis-tic logic. We first propose an a...
This paper is an extended version of a conference paper. It also includes some parts ...
International audienceThis paper presents a general approack both syntactic and semantic, for fusing...
International audienceThis paper presents a general approack both syntactic and semantic, for fusing...
International audienceThis paper presents a general approack both syntactic and semantic, for fusing...
This paper presents a new approach for merging prioritized knowledge bases in possibilistic logic. O...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
Invited papers covering the current research in the fields of measurement and information acquisitio...
International audienceThe problem of merging multiple sources information is central in many informa...
International audienceThe problem of merging multiple sources information is central in many informa...
International audienceThe problem of merging multiple sources information is central in many informa...
International audienceThe problem of merging multiple sources information is central in many informa...
Belief merging is an important but difficult problem in Artificial Intelligence. This prob-lem becom...
Abstract. In this paper, we compare merging operators in possibilis-tic logic. We first propose an a...
This paper is an extended version of a conference paper. It also includes some parts ...
International audienceThis paper presents a general approack both syntactic and semantic, for fusing...
International audienceThis paper presents a general approack both syntactic and semantic, for fusing...
International audienceThis paper presents a general approack both syntactic and semantic, for fusing...
This paper presents a new approach for merging prioritized knowledge bases in possibilistic logic. O...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...
International audienceThis paper proposes syntactic combination rules for merging uncertain proposit...