A split-combination approach to merging knowledge bases in possibilistic logic

摘要: We propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the process. The consists two steps: splitting step and combination step. splits each base into subbases then second step, different classes are combined using operators. Our is applied which self-consistent results also consistent. Two proposed based on methods. Both result contains more information than obtained by t-conorm (such as maximum) In flat case, one provides good alternative syntax-based classical logic.