%0 Journal Article
%A CHENG Zhe
%A HUANG Jun-xian
%A QIN Jian-cheng
%A LU Yi-qin
%T A Multi-Index Mimic Voting Algorithm Based on Improved AHP-FCE Model
%D 2021
%R 10.13190/j.jbupt.2020-105
%J Journal of Beijing University of Posts and Telecommunications
%P 8-13
%V 44
%N 2
%X In order to improve the accuracy of mimic voting, a multi-index mimic voting algorithm based on the improved analytic hierarchy process-fuzzy comprehensive evaluation(AHP-FCE) model is proposed. In view of the shortcomings of the consistency check in the traditional model, the proposed algorithm improves the construction method of the judgment matrix. It can construct a judgment matrix that must have consistency with no need for consistency check and adjustment. Based on the improved model, the algorithm comprehensively analyzes the consistency, historical confidence, and heterogeneity in the mimic voting, transforming the mimic voting into a fuzzy evaluation process. Simulations show that compared with consensus voting, the algorithm can effectively improve the accuracy of voting and the overall safety performance of a mimic system.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2020-105