In the process of designing engineering systems, early system design often plays an important role. Although the existing system design methods are very effective, the preference information of different experts and the uncertainty of their subjective preferences are not processed effectively. Because different stakeholders have different backgrounds and different personalities, their linguistics preferences are expressed differently. Therefore, it is difficult to select a system scheme that meets all the performance requirements and is approved by various stakeholders. To solve this problem, a decision-making method is proposed in this study for complex system design in a heterogeneous language information environment. First, a theoretical system scheme set is constructed through a morphological matrix, and a multi-objective programming model is constructed based on the performance indicators to select the system scheme set that optimises each performance objective and meets the performance constraints. Then, a trapezoidal asymmetric cloud model is used as an intermediary for containing heterogeneous language information to integrate each stakeholder's preference information, as expressed by their favourite linguistic term sets, and to select the best system solution. The effectiveness of the proposed method is verified by a system design example of a horizontal directional drilling machine.

在设计工程系统的过程中，早期的系统设计通常起着重要的作用。尽管现有的系统设计方法非常有效，但是并不能有效地处理不同专家的偏好信息及其主观偏好的不确定性。由于不同的利益相关者具有不同的背景和个性，因此他们的语言偏好也有所不同。因此，很难选择一个满足所有性能要求并得到各利益相关方认可的系统方案。为了解决这个问题，本研究提出了一种在异构语言信息环境下进行复杂系统设计的决策方法。首先，通过形态矩阵构造理论系统方案集，基于性能指标构建多目标规划模型，选择能够优化每个性能目标并满足性能约束的系统方案集。然后，梯形不对称云模型被用作包含异构语言信息的中介，以整合每个利益相关者的偏好信息（由他们最喜欢的语言术语集表示），并选择最佳的系统解决方案。通过水平定向钻机的系统设计实例验证了该方法的有效性。梯形不对称云模型用作包含异类语言信息的中介，以集成每个涉众的偏好信息（由其最喜欢的语言术语集表示），并选择最佳的系统解决方案。通过水平定向钻机的系统设计实例验证了该方法的有效性。梯形不对称云模型用作包含异类语言信息的中介，以集成每个涉众的喜好信息（由其最喜欢的语言术语集表示），并选择最佳的系统解决方案。通过水平定向钻机的系统设计实例验证了该方法的有效性。