1. Altunin A.E., Semukhin M.V. Models and algorithms for making decisions in fuzzy conditions: Monograph. Tyumen: Publishing House of the Tyumen State University, 2000. 352 p. http://www.plink.ru/tnm/gl51.htm
2. Anisimov B. V., Kurganov V. D., Zlobin V. K. Recognition and digital image processing—M .: Higher School (1984)
3. Shahnaz Shahbazova, Manfred Grauer, Musa Suleymanov, The development of an algorithmic model of object recognition using visual and sound information based on neuro-fuzzy logic, Annual Conference of the North American Fuzzy Information Processing Society-NAFIRS, March 19, 2011.
4. Kaiser, G., Kaplan, S.: Parallel and distributed Incremental Attribute Evaluation Algorithms for Multiuser Software development Environments. ACM Trans. Softw. Eng. Methodol. 2(1), 47–92 (1993)
5. Lee, S-W., Kim, Y.J.: Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network. In: Proceedings of the 12th IAPR International Conference on Pattern Recognition. Jerusalem, Israel. (1994). Cтp. 507–509.