1. N.R. Yusupbekov, R.A. Aliev, R.R. Aliev, A.N. Yusupbekov. Intellectual control systems and decision making. –T.: State Scientific Publishing House "Uzbekistan Million Encyclopedia", 2014. - 490 p. 2. Jing-Nang Lee, Tsung-Min Lin, Chien-Chih Chen. Modeling Validation and Control Analysis for Controlled Temperature and Humidity of Air Conditioning System // The Scientific World Journal. – 2014. - Vol. 2014.- P.10 p. 3. Antonio, C. Caputo. Capsule, Pacifico M. Pelagagge // Applied Thermal Engineering. - 2000. - Vol. 20. - P. 49– 67. 4. HVAC system / S. Soyguder, M. Karakose, H. Alli // Soyguder, S. Design and simulation of PID-type selftuning. - 2009. - Vol. 36. pp. 4566-4573. 5. Soyguder, S. Soyguder, S. Alli // Expert Systems with Applications. - 2010. - Vol. 37. - P. 2072-2080. 6. Krushel, E. G. Nonlinear microclimate control algorithms / E. G. Krushel, V. G. Semenov, I. V. Stepanchenko, V. V. Surgutanov // Izvestiya VolgGTU. - 2007. - № 3. - p. 89-92. 7. Rutkovskaya, D. Neural networks, genetic algorithms and fuzzy systems / D. Rutkovskaya, M. Pilinsky, L. Rutkovsky; translation from Polish I.D. Rudinsky. - M .: Hotline - Telecom, 2006. - 452 p. 8. Rotshtein, A. P. Intellectual identification technologies: fuzzy logic, genetic algorithms, neural networks. - Vinnitsa: UNIVERSUM-Vinnitsa, 1999. - 320 p. 9. Fuzzy sets in models of control and artificial intelligence / A.N. Averkin [et al.]; under. Ed. D. A. Pospelov. - M.: Science. Ch. Ed. Phys.-Mat. lit., 1986. - 312 p. 10. Shtovba, S. D. Introduction to the theory of fuzzy sets and fuzzy logic / S. D. Shtovba. - Vinnitsa: ContinentPrim., 2003. - 198 p. 11. Fuzzy sets in models of control and artificial intelligence / A. N. Averkin [et al.]; Ed. D. A. Pospelov. - M.: Science. Ch. Ed. Phys.-Mat. lit., 1986. - 312 p