Evaluating the effectiveness of integration formations requires an integrated approach that combines the use of both quantitative and qualitative indicators. Existing methods for analyzing the effectiveness of economic processes can not be formally applied to the problem of assessing the effectiveness of the implementation of the integration units for many reasons. Application of statistical analysis of historical data or case law causes difficulties due to the uniqueness of integration activities and the impossibility of duplicating administrative decisions due to the specifics of the internal environment of organizations, market instability, the effect of different environmental factors that necessitated the economic and mathematical modeling, expert assessments of the effectiveness of the integration units (EIF) with using linguistic variables and methods of the theory of fuzzy numbers. Selected mathematical tools used in the proposed model the theory of fuzzy sets, which makes it possible to analyze the qualitative variables, manipulate the input data and fuzzy linguistic criteria, as well as to model complex systems and to compare them with each other. Economic-mathematical model provides an assessment of EIF in two stages. At first defined the generalized evaluation of each of the nine blocks that characterize the contribution of block EIF, the second integral evaluation performed EIF. Conclusion on the integrated assessment of EIF can be obtained by analyzing the values of integrated assessments, reflecting the impact of the block. Recent consider, in turn, that comprehensive evaluations were obtained from the analysis values of the indicators. It is necessary to ensure the fulfillment of the requirement to increase the value of each evaluation index, or was coupled with an increase in value of EIF. This requirement is satisfied when the transition to the linguistic values. The algorithms implementing the steps vary the transitional linguistic variables qualitative indicators and values of linguistic variables estimated EIF, the rest of the algorithms are identical. Presentation of the economic-mathematical model to derive a comprehensive qualitative evaluation of the effectiveness of integration formations. The developed model is aimed at increasing the representation of management decisions and risk reduction integration formations based on industry characteristics meat industry.

integration, economic and mathematical model, the meat industry

1. Nedosekin S.A. The application of fuzzy sets theory to the problems of financial management. Audit i finansovyi analiz. [Audit and Financial Analysis], 2010, no. 2. (In Russ.).

2. Konysheva L.K., Nazarov D.M. Osnovy nechetkikh mnozhestv. [Fundamentals of the theory of fuzzy sets]. Sent-Petersburg, Piter, 2011. 192 p. (In Russ.).

3. Bogomolova I.P., Stukalo O.G., Ustyugova I.E. Methodological approaches to assessing the effectiveness of the integration groups. Vestnik VGUIT. [Bulletin of VSUET], 2014, no. 1 (59). (In Russ.).