1. R.A. Aliyev, R.R. Aliev. The theory of intelligent systems and its application. - Baku, Chashyogly Publishing House, 2001. - 720 p. 2. Baeva N.B, Bondarenko, Yu.V. Fundamentals of the Theory and Computational Schemes of Vector Optimization. 3. Fidler M., Nedoma J., Ramik J., Ron I., Zimmermann K. Problems of linear optimization with inaccurate data - M.; Izhevsk: Computer Institute, Issled. : Regular. and chaos. dynamics, 2008. 286 p. 4. Liu B. Theory and practice of indefinite programming - M.: BINOM. Lab Knowledge, 2005. - 416 p. 5. Malyshev V. A., Piyavsky B. S., Piyavsky S. A. The decision-making method in terms of the variety of ways of accounting for uncertainties, Izv. RAS. Theory and control systems. 2010. - № 1. -C. 46-61. 6. Nogin VD, Edgeworth-Pareto Principle and the relative importance of criteria in the case of a fuzzy preference relation // Zh. calculate mathematics and mat. physics. 2003. - Vol. 43, No. 11. - P. 1666-1676. 7. Zadeh L. A. Fuzzy Sets // Information and Control. 1965.-Vol. 8, No. 3. -P. 338-353. 8. Vilkas E.Y., Myminas E.Z. Solutions: theory, information, modeling. M .: Radio and communication, 1981. 328 p.9. Dubois D., Prade H. Fuzzy sets and systems. Theory and applications. New York: Asad. Press, 1980. XVIII. 344 p. 9. Tanaka Hideo, Asai Kiyaii. Fuzzy linear programming based on fuzzy functions //Bull. Univ. Osaka Prefect. 1980. Vol. 29. № 2. P. 113 – 125. 10.Rotshtein, A.P., Fuzzy Multi-Criteria Analysis of Options Using Paired Comparisons, Izv. RAS. Theory and control systems. - 2001. № 3. - p. 150-154. 11.Rotshtein A. P. The Fuzzy Multicriteria Choice of Alternatives: the Worst Case Method // Izv. RAS. Theory and control systems. 2009. - № 3. - p. 51-55 12. Negoita C. The current interest in fuzzy optimization // Fuzzy Sets and Systems. 1981. Vol. 6. № 3. P. 261 – 269. 13. Hannan E. Linear programming with multiple fuzzy goals // Fuzzy Sets and Systems. 1981. Vol. 6. № 3. P. 235 – 489. 14.Borisov A.N., Popov V.A. One class of multi-criteria optimization problems in the linguistic setting of criteria // Methods and models of management and control. Riga, 1979. pp. 56 - 61. 15.Chernorutsky I. G. Methods of optimization and decision-making. -SPb .: Lan, 2001.-384 p.17. Xu R., Li C.Multidimensional least-squares fitting with a fuzzy model // Fuzzy Sets and Systems. 2001. - Vol. 119, №. 2. - P. 215- 223. 16. Tong R., Bonissone P. A linguistic approach to decision-making with fuzzy sets // IEEE Trans. Syst. Mang. and Cybern. 1980. Vol. 10. № 11. P. 716 – 723. 17. Yazenin A.V. The problem of vector optimization with fuzzy coefficients of importance criteria // Mathematical methods of optimization and control in complex systems. Kalinin, 1981. pp. 38 - 51. 18. Shchitov I. N. Introduction to optimization methods. - M.: Higher. school, 2008. 204 p.21. Ramesh J. A procedure for multiple-aspect decision making using fuzzy sets // Int. J. Syst. Sci. 1977. Vol. 8. № 1. P. 1 – 7. 19. Yager R. Multiple objective decision-making using fuzzy sets // Int. J. ManMach. Sfud. 1979. Vol. 9. № 4. P. 375 382. 20.Borisov A.N., Krumberg O.A. Decision analysis when choosing technological objects // Decision making methods in conditions of uncertainty. Riga, 1980. No. 7. P. 126 - 134.24. Yager R. Fuzzy Sets, probabilistic and decision // J. Cybern. 1980. V. 10. № 1 - 3. P.1 - 18.