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In recent advent of smart grids, the end-users aims to satisfy simultaneously low electricity bills, with a reasonable level of comfort. While cost evaluation appears to be an easy task, capturing human preferences seems to be more challenging. Here we propose the use of fuzzy logic and a modified version of the TOPSIS method, to quantify end-users' preferences in a smart grid. While classical smart grid focus only on the technological side, it is proven that smart grid effectiveness is hugelydoi:10.1088/1757-899x/353/1/012019 fatcat:3b7ermlf2zfthdqg4riwujtx5q