Designing a mechatronic system is a complex task since it deals with a high number of system components with multidisciplinary nature in the presence of interacting design objectives. Currently, the sequential design is widely used by designers in industries that deal with different domains and their corresponding design objectives separately leading to a functional but not necessarily an optimal result. Consequently, the need for a systematic and multiobjective design methodology arises. A new conceptual design approach based on a multicriteria profile for mechatronic systems has been previously presented by the authors, which uses a series of nonlinear fuzzy-based aggregation functions to facilitate decision-making for design evaluation in the presence of interacting criteria. Choquet fuzzy integrals are one of the most expressive and reliable preference models used in decision theory for multicriteria decision-making. They perform a weighted aggregation by the means of fuzzy measures assigning a weight to any coalition of criteria. This enables the designers to model importance and also interactions among criteria, thus covering an important range of possible decision outcomes. However, specification of the fuzzy measures involves many parameters and is very difficult when only relying on the designer's intuition. In this paper, we discuss three different methods of fuzzy measure identification tailored for a mechatronic design process and exemplified by a case study of designing a vision-guided quadrotor drone. The results obtained from each method are discussed in the end.

中文翻译：

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基于模糊的框架，支持机电系统的多准则设计

设计机电一体化系统是一项复杂的任务，因为在存在交互设计目标的情况下，它要处理大量具有多学科性质的系统组件。当前，顺序设计已被设计人员广泛地应用于处理不同领域的行业及其各自的设计目标，从而分别带来了功能但不一定是最佳结果。因此，出现了对系统和多目标设计方法的需求。作者先前已经提出了一种基于多标准配置文件的机电系统新概念设计方法，该方法使用一系列基于非线性模糊的聚合函数来促进在存在交互标准的情况下进行设计评估的决策。Choquet模糊积分是用于多准则决策的决策理论中表达能力最强，最可靠的偏好模型之一。他们通过模糊度量将权重分配给任何标准联盟来执行加权聚合。这使设计人员能够对重要性以及标准之间的相互作用进行建模，从而涵盖了可能的决策结果的重要范围。但是，模糊度量的规范涉及许多参数，并且仅依靠设计者的直觉是非常困难的。在本文中，我们讨论了为机电设计过程量身定制的三种不同的模糊度量识别方法，并以设计视觉引导四旋翼无人机的案例研究为例进行了说明。最后讨论了从每种方法获得的结果。