Aleksandar Janjic, Lazar Zoran Velimirovic, Miomir Stankovic, Vladimir Djordjevic

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The successful automation of a smart home relies on the ability of the smart home control system to organize, process, and analyze different sources of information, as a support to the automated multi-criteria decision-making process. There are at least four major key design criteria that every smart home of the future should meet, and the main challenge is the trade-off between them in uncertain environment. In this paper, a new methodology for the decision making support in smart home control system design, selection and operation has been presented. The methodology is based on multiplicative form of multi-attribute utility theory, which proved to be suitable for the modeling of human behavior in front of opposite criteria. Aggregated functions describing different smart home alternatives are compared using stochastic dominance principle. Unlike previous multi-criteria approach, compensatory aggregation adapted to the human behavior has been applied. The aggregation of different criteria has been performed through their numerical convolution. The methodology is illustrated on the smart home controller parameter setting with alternatives ranked according to the stochastic dominance principle.

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