Genetic lateral and amplitude tuning with rule selection for fuzzy control of heating, ventilating and air conditioning systems

Authors:
R. Alcalá;J. Alcalá-Fdez;F. J. Berlanga;M. J. Gacto;F. Herrera
Affiliations:
Dept. Computer Science and A.I., University of Granada, Granada, Spain;Dept. Computer Science and A.I., University of Granada, Granada, Spain;Dept. Computer Science, University of Jaén, Jaén, Spain;Dept. Computer Science and A.I., University of Granada, Granada, Spain;Dept. Computer Science and A.I., University of Granada, Granada, Spain
Venue:
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Year:
2006

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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.