A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems

  title={A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems},
  author={Rafael Alcal{\'a} and Jorge Casillas and Oscar Cord{\'o}n and Antonio Gonz{\'a}lez and Francisco Herrera},
  journal={Eng. Appl. of AI},
In this paper, we propose the use of weighted linguistic fuzzy rules in combination with a rule selection process to develop accurate fuzzy logic controllers dedicated to the intelligent control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements. To do so, a genetic optimization process considering an efficient approach to perform rule weight derivation and rule selection is developed. This allows the tuning of the system to be… CONTINUE READING
Highly Cited
This paper has 85 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 49 extracted citations

85 Citations

Citations per Year
Semantic Scholar estimates that this publication has 85 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 46 references

The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller

  • F. Calvino, M. L. Gennusa, G. Rizzo, G. Scaccianoce
  • Energy and Buildings
  • 2004
Highly Influential
5 Excerpts

An integrated control system for optimizing the energy consumption and user comfort in buildings

  • J. Pargfrieder, H. Jörgl
  • Proceedings of the 12th IEEE International…
  • 2002
Highly Influential
8 Excerpts

Applicability of the fuzzy operators in the design of fuzzy logic controllers

  • O. Cordón, F. Herrera, A. Peregrı́n
  • Fuzzy Sets and Systems
  • 1997
Highly Influential
4 Excerpts

Adaptation in Natural and Artificial Systems

  • J. H. Holland
  • 1975
Highly Influential
4 Excerpts

Application of artificial neural network to predict the optimal start time for heating system in building

  • I. H. Yang, M. S. Yeo, K. W. Kim
  • Energy Conversion and Management
  • 2003
Highly Influential
6 Excerpts

A multicriteria genetic tuning for fuzzy logic controllers

  • R. Alcalá, J. Casillas, J. L. Castro, A. González, F. Herrera
  • Mathware and Soft Computing
  • 2001
Highly Influential
5 Excerpts

Development of an adaptive neuro-fuzzy method for supply air pressure control in HVAC system

  • W. Jian, C. Wenjian
  • Proceedings of the IEEE International Conference…
  • 2000
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…