Aggregation operators are crucial to decision-makers when they make decisions. The ordered weighted aggregation(OWA) is the most common operator to aggregate the exact numerical values. However, the decision-makers may have vague knowledge about the decision information, so can't estimate their decision information with exact numerical values, which causes some new families of OWA operators appeare. Inspired by OWA operator and the induced OWA operators, a linguistic hybrid ordered weighted aggregation(LHOWA) operator is proposed, and some desirable properties of the operator are studied. Based on the operator, a fuzzy information aggregation method is presented for multiple attribute decision making. Finally, the superiority of the proposed method is verified by an example of a coal mine safety evaluation.