Group consensus reaching based on a combination of expert weight and expert reliability

Min Xue, Chao Fu and Shan-Lin Yang

Applied Mathematics and Computation, 2020, vol. 369, issue C

Abstract: Multi-criteria group decision making (MCGDM) as a key module in a group decision support system has attracted much attention. Different experts in MCGDM may hold different decision interests. To generate the solution that is accepted by most experts, a group consensus reaching process has been widely applied in MCGDM along with multiple rounds of group analysis and discussion (GAD). How to characterize the dynamic variation of experts’ opinions in the above process is a critical issue. To solve this problem, expert reliability is defined by measuring the dynamic variation of the support degree from other experts in GAD. By considering expert reliability and expert weight simultaneously, a group consensus measure is proposed and a group feedback mechanism is constructed to accelerate the convergence of group consensus. The dynamic variation of experts’ opinions, especially their non-cooperative behaviors, can be well addressed by using the constructed feedback mechanism. The proposed group consensus reaching process including the group consensus measure and feedback mechanism is applied to solve a problem of evaluating the safety performance of an enterprise located in Changzhou, a city in Jiangsu Province, China, in order to verify its applicability and effectiveness in MCGDM.

Keywords: Group consensus; Expert reliability; Feedback mechanism; Hybrid weight; Multi-criteria group decision making (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:369:y:2020:i:c:s009630031930894x

DOI: 10.1016/j.amc.2019.124902

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