THE CONCEPT OF INFORMATION-ENTROPY SPACE FOR SYSTEM OBJECTS MODELS BUILDING USED IN SUSTAINABLE DEVELOPMENT TASKS

Context. Solving tasks of interdisciplinary research deepening during sustainable development problems solutions search for real social-ecological-economical objects based on systemological modelling and introducing information-entropy space such state functionality determining making managerial decisions in uncertainty conditions.
 Objective. Modelling current situation researched object as the cooperative connection «studied system-environment» model, which determines study goal conditions due to discovery internal external factors interaction inside functioning representation.
 Method. The paper presents logical-experimental results complex estimation, their stochastic environment from point view requirements match proposed approach. This approach is basis studied entropy model creation algorithmization by ecological functional quality system state. interrelation «object systems-environment» functions processes, are gotten through monitoring data statistical analyses that belong technogenic (economical), social natural systems.
 Results. usage systemology union structure identification suggested first time, along with theoretical knowledge informational any element description entropic states process. relative accordance introduced final evaluation equilibrium. It allows estimate presence processes unstable points nested structure. important decision synergistically positive feedbacks prediction.
 Conclusions. systems process estimation determined. «object-environment» found spontaneous feedbacks. universal base was received synergy connections input information estimation.