面向特定决策类的结构化序贯三支约简OA

Sequential three-way decision(S3WD)is an efficient paradigm for dealing with uncertainty problems.However,the S3WD model loses granular structure information,which might increase the dif-ficulty of semantic interpretation,and the existing S3WD model focuses on all decision classes rather than specific decision classes.To address these issues,a general framework of structured sequential three-way decision for specific decision classes was proposed.Firstly,structured rough sets were introduced into the S3WD model,and a new trisecting strategy,namely,two-stage trisecting,was proposed.Based on this,a structured sequential three-way decision model for specific decision classes was established.Secondly,an efficient algorithm for calculating core attributes was designed,and based on this,a sequential three-way reduction algorithm for specific decision classes was proposed.Finally,the experimental results dem-onstrated that the proposed algorithm could improve the computational efficiency.