The consensus‐reaching process (CRP) to achieve higher unanimity and ensure common agreement before deriving a final decision has become an important procedure in group decision‐making problems. The demand for high‐quality decision results has motivated the development of large‐scale group decision‐making (LGDM). In such cases, the issue of minority opinion has gained awareness due to the related effects on enhancing consensus and decision quality. A minority opinion cannot exert an effect unless the majority attach importance to whether that opinion is supported or not. To reflect the effect of minority opinions on consensus, this paper establishes a LGDM framework with an objective and interactive‐information‐based feedback mechanism for the CRP. Given the natural forms of human expression, multi‐granular linguistic information and a 2‐tuple linguistic model are used. First, initial weights are objectively assigned to decision‐makers (DMs) to weaken the impact of the majority. Subsequently, a non‐support degree function is newly defined to reflect the extent to which other DMs dissent from a minority opinion. More importantly, feedback rules are constructed to make corresponding adjustments to the powers of discourse among all DMs in the attempt to reach consensus. Finally, the proposed three‐phase LGDM framework is applied to new product development (NPD), and simulation experiments are conducted based on two algorithms to verify the framework's applicability and feasibility.

中文翻译：

---

考虑到少数群体意见的不支持程度的客观且基于交互信息的反馈机制，用于达成共识的过程

在达成最终决定之前达成更高一致并确保达成共识的达成共识过程（CRP）已成为小组决策问题中的重要程序。对高质量决策结果的需求推动了大规模群体决策（LGDM）的发展。在这种情况下，由于对提高共识和决策质量产生了相关影响，少数群体的意见已经引起了人们的注意。除非多数意见不支持该意见，否则少数意见不能发挥作用。为了反映少数群体意见对共识的影响，本文建立了一个具有客观和基于交互信息的CRP反馈机制的LGDM框架。鉴于人类表达的自然形式，使用了多粒度语言信息和2元组语言模型。首先，客观地将初始权重分配给决策者（DM），以削弱大多数人的影响力。随后，新定义了一个非支持度函数，以反映其他决策者对少数派意见的反对程度。更重要的是，构建反馈规则以对所有DM之间的话语权进行相应的调整，以期达成共识。最后，将提出的三相LGDM框架应用于新产品开发（NPD），并基于两种算法进行了仿真实验，以验证该框架的适用性和可行性。新定义了非支持度函数，以反映其他决策者对少数派意见的反对程度。更重要的是，构建反馈规则以对所有DM之间的话语权进行相应的调整，以期达成共识。最后，将提出的三相LGDM框架应用于新产品开发（NPD），并基于两种算法进行了仿真实验，以验证该框架的适用性和可行性。新定义了非支持度函数，以反映其他决策者对少数派意见的反对程度。更重要的是，构建反馈规则以对所有DM之间的话语权进行相应的调整，以期达成共识。最后，将提出的三相LGDM框架应用于新产品开发（NPD），并基于两种算法进行了仿真实验，以验证该框架的适用性和可行性。