Attribute reduction algorithm in random fuzzy information system based on belief measure and plausibility measure

In this paper, we propose a method of attribute reduction by introducing the concepts of belief measures and plausibility measures on attribute set of random fuzzy information system. Using this method, we propose an attribute reduction algorithm of random fuzzy information system. We also analyze the time complexity of algorithm and it is O(|U|^2|A|). Finally, the example illustrates that the algorithm is available.