To improve the quality,efficiency,and interpretability of heterogeneous multi-attribute group decision mak-ing in an uncertain linguistic environment,an adaptive group consensus decision-making method with dynamic update of attribute weights is proposed.It first defines the conversion functions between uncertain linguistic variables and medi-an values,and develops the multi-level consensus measures,then calculates the initial weights of attributes by establish-ing a bi-objective optimization model,and further establishes the group consensus automatic reaching rules and attrib-ute weight dynamic update mechanism to achieve accurate positioning and automatic modification of the values to be adjusted,further improving the level of group consensus while optimizing attribute weights.Furthermore,for the group decision matrix that has reached consensus,the median values in the matrix are first converted into corresponding uncer-tain linguistic variables by using the conversion function,and then the optimized attribute weight and the uncertain lin-guistic weighted average operator(ULWA)are used to calculate the overall evaluation results,and the alternatives are ranked and selected by using the dominance index.Finally,the effectiveness and feasibility of the proposed method are verified through the case of supplier selection and experimental comparative analysis.The proposed method has the characteristics of wide application scope,high consensus efficiency,flexibility,practicality,and strong interpretation,which provides an effective approach for solving multi-attribute group decision-making problems in complex environ-ments.
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