The classification-based consensus model with minimum violations in heterogeneous group decision making

This paper investigates the classification-based group decision making problem with heterogeneous preference information from a perspective of minimum information violations. Firstly, an approach for measuring information violations between alternatives classification and heterogeneous preference information, and a classification-based consensus measure method are proposed. Then, a classification-based consensus model with minimum information violations is developed to generate consensual alternative classifications under a heterogeneous preference context. Further, an interactive classification-based consensus reaching process with heterogeneous preference information is designed to guide decision makers to adjust their heterogeneous preference information. Moreover, the properties of proposed classification-based consensus reaching model are discussed. Finally, a numerical example is offered to demonstrate the application process of the proposal. © 2022, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.