摘要
针对群决策过程中专家群体共识水平不高的问题,构建一种基于调整成本最小化的群决策算法。该算法在三个层面定义一致性-共识性测度,用于衡量模糊判断矩阵的一致性和共识性水平;建立基于最小调整成本的共识调整反馈机制来识别需要调整的决策者和偏好值;建立以共识调整总成本最小为目标函数的最优化模型计算每个决策者的最优调整参数和共识阈值上界;设计基于调整成本最小化的群决策算法,并验证其收敛性。通过深度学习推荐系统的优选实验表明,构建的群决策算法在成本和效率方面更有效。
With respect to the problems that the consensus level of expert group is not high in the process of group decisionmaking(GDM),a GDM algorithm based on minimizing adjustment cost is constructed.Firstly,the consistency-consensus measures are defined at three levels to measure the consistency and consensus levels of fuzzy judgment matrix.Secondly,a consensus adjustment feedback mechanism based on the minimum adjustment cost is established to identify decision makers and preference values that need to adjust consensus level.Then,an optimization model with the objective function of minimizing the total cost of consensus adjustment is established to calculate the optimal adjustment parameters and the upper bound of consensus threshold for each decision-maker.Finally,a GDM algorithm based on minimizing adjustment cost is designed and its convergence is verified.The optimization experiment of deep learning recommendation system shows that the proposed GDM algorithm is more effective in terms of cost and efficiency.
作者
李楚贞
吴新玲
余育文
LI Chuzhen;WU Xinling;YU Yuwen(Department of Information and Technology,Guangdong Technology College,Zhaoqing,Guangdong 526100,China;Department of Computer Science,Guangdong Polytechnic Normal University,Guangzhou 510665,China;Department of Technical,Guangzhou College of Technology and Business,Foshan,Guangdong 528131,China;Principal Office,Zhaoqing University,Zhaoqing,Guangdong 526100,China)
出处
《计算机工程与应用》
CSCD
北大核心
2022年第21期142-148,共7页
Computer Engineering and Applications
基金
肇庆学院学生事务管理精品项目(ZQJPZD-2019002)。
关键词
群决策
模糊判断矩阵
群体共识调整算法
最小化成本
group decision-making
fuzzy judgment matrix
group consensus adjustment algorithm
minimize cost
