Abstract:
Complex artificially active, partially formalized systems with endogenous targeting are investigated. The process of crop production is considered as a partially determined optimization management system with conditionally predicted dynamics. Methods of formalization of system states and algorithm of construction of optimization mathematical models in the conditions of uncertainty and risks are offered. Optimization of risk management systems is formulated as a task to minimize the negative consequences of uncertainty and risks of choosing alternative strategies and directions of development of the studied system as an object of management.
