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Designing a mechatronic system is a complex task since it deals with a highnumber of system components with multi-disciplinary nature in the presence ofinteracting design objectives. Currently, the sequential design is widely usedby designers in industries that deal with different domains and theircorresponding design objectives separately leading to a functional but notnecessarily an optimal result. Consequently, the need for a systematic andmulti-objective design methodology arises. A new conceptual design approachbased on a multi-criteria profile for mechatronic systems has been previouslypresented by the authors which uses a series of nonlinear fuzzy-basedaggregation functions to facilitate decision-making for design evaluation inthe presence of interacting criteria. Choquet fuzzy integrals are one of themost expressive and reliable preference models used in decision theory formulticriteria decision making. They perform a weighted aggregation by the meansof fuzzy measures assigning a weight to any coalition of criteria. This enablesthe designers to model importance and also interactions among criteria thuscovering an important range of possible decision outcomes. However,specification of the fuzzy measures involves many parameters and is verydifficult when only relying on the designer's intuition. In this paper, wediscuss three different methods of fuzzy measure identification tailored for amechatronic design process and exemplified by a case study of designing avision-guided quadrotor drone. The results obtained from each method arediscussed in the end.

A Fuzzy-based Framework to Support Multicriteria Design of Mechatronic Systems