Decision-theoretic rough set model is one of the most important research branches of the rough set theory. However, due to the variety of data types and the dynamic updating of data in the real environment, the traditional decision-theoretic rough set model is faced with certain limitations and deficiencies. To solve this problem, a neighborhood decision-theoretic rough set model of a hybrid information system is proposed, and an incremental updating algorithm of a neighborhood decision-theoretic rough set based on matrix methods is designed. In this paper, the traditional discrete decision-theoretic rough set model is extended to the hybrid information system, and a neighborhood decision-theoretic rough set model is proposed, which can deal with the hybrid data directly. Then, the matrix method is used to represent the neighborhood decision-theoretic rough set model. At the same time, the incremental updating of the neighborhood decision-theoretic rough set model is studied through the matrix in the case of the increase and decrease of the objects in the hybrid information system. The efficiency of this incremental method is proved theoretically. Finally, based on the incremental updating method of matrix, the incremental updating algorithm of the neighborhood decision-theoretic rough set for the hybrid information system is proposed. Experimental results show that the proposed incremental updating algorithm has certain effectiveness and superiority.