Generalized dominance-based rough set approach to security evaluation with imprecise information

The model of grey multi-attribute group decision-making (MAGDM) is studied, in which the attribute values are grey numbers. Based on the generalized dominance-based rough set approach (G-DRSA), a synthetic security evaluation method is presented. With the grey MAGDM security evaluation model as its foundation, the extension of technique for order performance by similarity to ideal solution (TOPSIS) integrates the evaluation of each decision-maker (DM) into a group's consensus and obtains the expected evaluation results of information system. Via the quality of sorting (QoS) of G-DRSA, the inherent information hidden in data is uncovered, and the security attribute weight and DMs' weight are rationally obtained. Taking the computer networks in a certain university as objects, the example illustrates that this method can effectively remove the bottleneck of the grey MAGDM model and has practical significance in the synthetic security evaluation. © by High Technology Letters Press.