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• Multicriteria group decision-making (MCGDM) is performed dynamically. • Dynamic MCGDM method with automatic reliability and weight is proposed. • The method of automatically determining reliability is constructed based on evidence distance. • The method of automatically determining weight is constructed based on Deng entropy. • Generalized combination rule is used to solve MCGDM problem with two parameters. With the increasing complexity of socioeconomic environments, multicriteria group decision-making (MCGDM) has attracted increasing attention from researchers. Experts' weight and reliability are crucial to MCGDM and have an important influence on decision-making accuracy. In reality, an expert's weight and reliability might vary with the influence of factors such as changes in expert psychology and the collection of additional information. Thus, this study proposes a dynamic MCGDM method with automatic reliability and weight calculation. First, we introduce a generalized combination rule into MCGDM and propose methods for automatically determining experts' weight and reliability by mining evidence. Here, experts' weight can be calculated according to the entropy of evidence, while experts' reliability can be calculated according to evidence distance from the perspectives of horizontal comparison and longitudinal comparison. Then, the consensus-reaching process is taken into account in MCGDM; experts are allowed to modify and change their judgments, and experts' weight and reliability can be automatically updated in each round of interaction. Finally, we provide an illustrative example and make some comparisons to demonstrate the applicability and advantages of the proposed method. [ABSTRACT FROM AUTHOR]

• Developing the combination rule for evidences by introducing trust as the third parameter, following weight and reliability. • Proposing a more generalized method for full stage group decision-making with a broader range of application. • Presenting a fresh perspective on achieving consensus based on the relationships among trust, weight, and reliability. • Proposing a novel method for dynamically determining weight and reliability parameters based on their respective definitions. Recent studies on group decision-making (GDM) have highlighted the significance of the reliability parameter, which is considered to be the second critical parameter, after weight, of an information source. In practice, trust among decision makers (DMs) also should receive attention because of the interaction among DMs. Thus, in this study, we introduce trust as a third parameter and focus on differentiating among these three information parameters. First, we apply the generalized combination (GC) rule to extract and fuse individual information. Then, we implement the procedures of consensus measure and information selection based on similarity. Next, we adjust the selected inconsistent information using trust-based weight and reliability parameters to facilitate group consensus. During the consensus reaching process, the weight and reliability parameters are dynamically and differentially determined. Finally, the proposed method is summarized as a GDM framework. We introduce a case simulation study to verify the feasibility of the proposed method and conduct a numerical comparison and comparative discussion to demonstrate that the proposed method provides a fresh perspective on developing GDM with consensus. In particular, this framework is suitable for addressing GDM problems involving uncertainty in high-dimensional information with wide discrepancy. [ABSTRACT FROM AUTHOR]