We represent a set of possible worlds using a k-anonymity privacy protection model. We introduce kpro-anonymity model, a space-efficient and complete representation system for finite sets of worlds. We study the problem of efficiently evaluating queries on sets of possible worlds represented by kpro-anonymity model.
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