Regret-Theoretic Multiattribute Decision-Making Model Using Three-Way Framework in Multiscale Information Systems
针对多尺度信息系统中现有方法将对象严格分为好坏导致误分类、且难以反映决策者风险态度的问题，提出结合三支决策与遗憾理论的模型，通过遗憾-欣喜指数构建排序关系，并用聚类将对象分为三类后排序，实验验证了模型的有效性和稳定性。
The existing multiattribute decision-making (MADM) methods on multiscale information systems (MSISs) are generally studied from the utility point of view, which may cause two problems: 1) the objects are strictly classified into good or bad, which may lead to misclassification and 2) the risk attitude and psychological behaviors of decision makers are difficult to be reflected. In light of this, this article proposes a wide three-way decision (3WD) model on an MSIS, which combines 3WD theory and regret theory and can precisely make up for these two shortcomings. First, by virtue of regret theory, an outranking relation on the comprehensive MSIS is constructed according to the regret-rejoicing index. Second, objects in the outranking relation are classified into three different domains by a clustering method. In each domain, the ranking of objects can be calculated by using the relative closeness coefficient. Finally, we use the cases in the database to simulate the experiment to verify the decision-making effect of the proposed model. Comparative analysis and experimental analysis also show the effectiveness, superiority, and stability of the proposed model.