Democratic three-way decisions based on voting mechanism

Qinghua Zhang, Xuechao Zhi, Yongyang Dai, Guoyin Wang

Abstract: In some cases, the decision process of three-way decisions (3WD) is costly, and sequential three-way decisions (S3WD) may cause errors beyond tolerance. To solve the above problems, in this paper, democratic three-way decisions based on voting mechanism (D3WD-VM) is proposed from the perspective of all conditional attributes. By obtaining decision opinions of different attributes at the coarse granularity level, the final decision results is obtained. First, a voting mechanism is established to realize the idea of the democratic three-way, which is an ensemble decision space based on conditional attributes. Next, in order to make the decision results more reasonable, the normalized information gain ratio is utilized to optimize the voting weight of conditional attributes in the voting mechanism. Then, based on cognitive science, two different decision strategies are devised to make the final decision. Finally, the experimental results demonstrate that the accuracy rate and the comprehensive evaluation index of the D3WD-VM have also been improved to some extent compared with the S3WD, and the decision efficiency is better than 3WD.