The optimal inference approximate algorithm in weighted hypergraph based on granular computing

The relation of knowledge is vividly represented by hypergraph in big knowledge base. In this paper, hierarchical quotient space theory in granular computing model is applied to weighted hypergraph, so uncertainty inference of knowledge in big knowledge base is converted to the optimal path approximate of weighted hypergraph based on granular computing model. Thus, the complex degree of solving problem is simplified and the best inference path is obtained.