Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-007-0107-6.pdf
Reference35 articles.
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2. Alcalá R, Casillas J, Cordón O, González A, Herrera F (2005) A genetic rule weighting and selection process for fuzzy control of HVAC systems. Eng Appl Artif Intell 18(3):279–296
3. Alcalá R, Alcalá-Fdez J, Casillas J, Cordón O, Herrera F (2006) Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. Soft Comput 10(9):717–734
4. Alcalá R, Alcalá-Fdez J, Herrera F (2007) A Proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection. IEEE Trans Fuzzy Syst 15(4):616–635
5. Alcalá R, Alcalá-Fdez J, Gacto MJ, Herrera F (2007) Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation. Soft Comput 11(5):401–419
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