首页|A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making
A non-threshold consensus model based on the minimum cost and maximum consensus-increasing for multi-attribute large group decision-making
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NSTL
Elsevier
This study proposes a non-threshold consensus model that combines the minimum cost and maximum consensus increasing for multi-attribute large group decision-making (MALGDM). First, the large-scale experts is classified into several clusters via the combination of the similarities of evaluation information, unit consensus cost, and adjustment willingness. Then, a more sensitive consensus measure method that combines the mean value and variance of the similarities among clusters is presented. Next, a comprehensive identification rule is put forward to determine the cluster with a low consensus level, low unit consensus cost, and high adjustment willingness for information adjustment. An optimization model that combines the minimization of the cost of the cluster and the maximization of the increase of the global consensus level is then constructed to obtain the adjusted information. Also, the adjustment willingness is considered in the constraints to limit the adjustment range. Moreover, instead of the use of a predefined threshold and a maximum number of iterations, a termination index is developed to terminate the consensus reaching process (CRP) to make the CRP more objective and rational. Finally, an application example is presented, and comparison and simulation analyses are performed to validate the feasibility and effectiveness of the proposed model.
Consensus reaching process (CRP)Consensus measureFeedback adjustmentTermination indexMulti-attribute large group decision-making (MALGDM)
Zhong, Xiangyu、Xu, Xuanhua、Pan, Bin
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Cent South Univ, Sch Business, Changsha 410083, Hunan, Peoples R China
Hunan Univ Finance & Econ, Sch Accounting, Changsha, Hunan, Peoples R China
NSTL
Elsevier
