Abstract
Dynamics and complexity are the important characteristics of current information systems, and intelligent decision-making problem of complex information systems in dynamic environment is an important research content in the fields of intelligent decision-making. Decision-theoretic rough set model is an important model based on rough computing, and matrix is an effective mathematical tool, which was widely used in various fields of intelligent computing because of its easy representation and convenient calculation. In this paper, neighbourhood decision-theoretic rough sets(NDTRS) and the dynamic updating methods of decision regions of hybrid decision information systems were studied, and a dynamic method based-matrix for batch updating decision regions of hybrid decision information systems was proposed by introducing neighbourhood relation matrix and probability matrix to calculate the decision regions.At the same time, In the process of algorithm design, the incremental matrix is defined to updated the probability matrix, so as to improve the algorithm from the perspective of time complexity.Furthermore,the algorithms were described and analyzed in detail.Finally, the experimental results fully proved the effectiveness and feasibility of the algorithm.
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