Binary Classification Group Consensus Decision-making Method Based on the Additive Preference Relation

Purpose/Significance With the development of economy, the binary classification group consensus decision-making method based on the additive preference relation is applied in many fields, such as the determination of selected graduates, the retention of law firm interns and the evaluation of fund projects. Therefore, it is necessary to propose a targeted analytical method. Design/Methodology A binary classification selection method is put forward to obtain the individual and collective binary classification vectors in relation to alternatives. A binary classification consensus method is proposed to assist the individuals to adjust their preferences and improve their consensus level. Findings/Conclusions From the perspective of minimum adjustment cost, this paper develops a binary classification group consensus decision-making method based on additive preference relation. The proposed method can be extended to solve the binary classification group decision-making issues in many fields.