Abstract
In this work, we propose the use of a new post-processing method for the lateral and amplitude tuning of membership functions combined with a rule selection to develop accurate fuzzy logic controllers dedicated to the control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements.
Supported by the Spanish Ministry of Science and Technology under Projects TIC-2002-04036-C05-01 and 04, and TIN-2005-08386-C05-01 and 03.
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Alcalá, R., Alcalá-Fdez, J., Berlanga, F.J., Gacto, M.J., Herrera, F. (2006). Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_49
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DOI: https://doi.org/10.1007/11779568_49
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