Abstract
The exemplary design of green buildings incorporates multiple correlated parameters that should be optimally selected and updated to ensure effective energy management and sustainable impact of building architecture on the ecosystem. In this paper, the adaptive modeling and development of such sustainable buildings with several unpredictable and qualitative attributes is implemented with multiple-input multiple-output (MIMO) fuzzy control system. The outputs of the proposed fuzzy corroborated sustainable building paradigm comprise of specific characteristics employed for assessing the optimal performance, viz. energy efficiency, user satisfaction, resources optimization, and environment quality. These diverse system criteria measured using the proposed fuzzy optimization model are plotted against their actual theoretical values for each data case. Furthermore, the sample dataset for the proposed sustainable building model is validated through simulation results in terms of mean absolute error and logarithmic quotient error in the estimation of various fuzzy output variables evolving with the dataset size.
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