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Information fusion of multi-fuzzy information systems

This paper discusses the fusion of multi-fuzzy information systems and hypotheses choice. First, the basic definitions and properties of fuzzy rough sets, belief and plausibility functions and entropy are reviewed. Then, we study the fusion method for multi-fuzzy information systems. Finally, we define the entropy of multi-fuzzy information systems and the conditional entropy of multi-fuzzy information systems given by a hypothesis, and make choice for the optimal hypotheses of the universe of discourse.