Abstract
The onset of Industry 4.0 requires for development of self-aware systems. The core of such systems are computationally powerful yet energy efficient embedded modules, called computer on module (COM), capable of performing various tasks of control, data acquisition and signal processing. The market is flooded with various COM systems thus making the selection of the most appropriate one for appropriate task is a very difficult task. This decision problem is addressed by employing PROMETHEE and DEXi methods. The proposed solution is a decision model based on 13 attributes. The evaluation is performed on a set of 53 currently available COMs.
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The Yocto Project is a Linux Foundation Collaborative open source Project whose goal is to produce tools and processes that enable the creation of Linux distributions for embedded software that are independent of the underlying architecture of the embedded hardware.
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S+R stands for System and Support.
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Nusev, G., Boškoski, P., Bohanec, M., Mileva Boshkoska, B. (2018). A DSS Model for Selection of Computer on Module Based on PROMETHEE and DEX Methods. In: Dargam, F., Delias, P., Linden, I., Mareschal, B. (eds) Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. ICDSST 2018. Lecture Notes in Business Information Processing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-90315-6_13
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