Combining multiple prioritized knowledge bases by negotiation

作者: Guilin Qi , Weiru Liu , David Bell

DOI: 10.1016/J.FSS.2007.02.013

关键词:

摘要: Recently, several belief negotiation models have been introduced to deal with the problem of merging. A model usually consists two functions: a function and weakening function. is defined choose weakest sources these will weaken their point view using However, currently available are based on classical logic, which makes them difficult define functions. In this paper, we prioritized in framework possibilistic logic. The priority between formulae provides us important information decide beliefs should be discarded. merging uncertain from different then solved by steps. First, original knowledge bases weakened resolve inconsistencies among them. This step model. Second, obtained first combined conjunctive operator may reinforcement effect

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