Binary Classification Group Decision Making Under the Regret Aversion Behaviors

Purpose/Significance Binary classification group decision making problems are widespread in the fields of social life and regional economies, e.g., civil servant interview, hotel recommendation and traffic routes selection. Therefore, it is necessary to develop a reasonable binary classification group decision making to support the government and related enterprises. Design/Methodology A binary classification selection process is built based on the regret aversion behaviors of individuals to obtain the individual and collective binary classification vectors. A binary classification consensus process is then built 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 decision making under the regret aversion behaviors. The proposed method, closer to real decision scenarios, further enriches the applications of group decision making.