Fuzzy models of optimal decision making in management of agricultural production
In modern conditions to achieve significant results in the agricultural sector is impossible without entering it on the path of innovative development. Speaking about innovative development in this field typically deal with the production and technological direction. However, innovation does not stop there. Also needs new approaches and methods of economic decision making, which is an element of economic and organizational direction. The main feature of agricultural production is that it depends on the production-economic, social and natural-biological factors. Their combined effect lead to the fact that the indicators of agricultural production are not deterministic quantities. They fluctuate both in time and in space. Therefore, the problem of managerial decision-making under uncertainty in agricultural production is extremely important and relevant. The agricultural science plays an important role optimization approach. However, developed to date, quantitative methods for optimal decision making given the opportunity to choose the best alternatives or in conditions of certainty (deterministic models) or in terms of specific kinds of uncertainty, wearing a probabilistic (stochastic model). Such models do not give an adequate solution of the problem in terms of the other uncertainty, non-probabilistic nature, the presence of which is most characteristic of modern economic challenges. With a unified voice to address various types of uncertainty allows the theory of fuzzy sets. Its use will contribute to the further development of the optimization approach in agricultural science. This article is devoted to application of fuzzy mathematical programming to the solution of problems of agricultural production
Keywords: innovative development, agricultural production, control, fuzzy model, optimization
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