In this paper, we propose an adaptive algorithm for merging n (n≥2) prioritized knowl- edge bases which takes into account the degrees of conflict and agreement ...

In this paper, we propose an adaptive algorithm for merging n (⩾2) prioritized knowledge bases which takes into account the degrees of conflict and ...

prioritized knowl- edge bases which takes into account the degrees of conflict and agreement among these knowledge bases. The algorithm first selects ...

PDF | In this paper, we propose an adaptive algorithm for merging n ( ) prioritized knowl- edge bases which takes into account the degrees of conflict.

In this paper, we propose an adaptive algorithm for merging n (⩾2) prioritized knowledge bases which takes into account the degrees of conflict and agreement ...

Apr 8, 2019 · Adaptive Merging of Prioritized Knowledge Bases. In this paper, we propose an adaptive algorithm for merging n (⩾2) prioritized knowledge bases ...

In this paper, we propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the ...

Jan 9, 2007 · We propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the ...

This paper presents a new approach for merging prioritized knowledge bases in possibilistic logic that is semantically defined by a model-based merging ...

Belief merging is an important but difficult problem in Artificial Intelligence, especially when sources of information are pervaded with uncertainty.