DEVELOPMENT OF THE DECISION SUPPORT SYSTEM IN AGRO-INDUSTRIAL COMPLEX LAND USE MANAGEMENT IN SIBERIA
Purpose. The research is aimed at designing and developing a decision support system for agro-industrial complex resources management problems in the regions of Siberia. Methods. The methods of conceptual and ontological modeling, software engineering, knowledge engineering and a graph theory are used. A MT-graph model proposed in the works of K.S. Yakovlev and E.S. Baskin is modified as applied to the on-ground conditions of the search. Results. New models have been developed which allow more complete and accurate description of arable lands as compared with their predecessors. The arable lands have been treated as a controlled resource in terms of geospatial analysis. A decision support system ensuring information support for the land evaluation problem solution as an element of the decision support system in agricultural sector management has been developed. Conclusion. The practical use of the developed models and computational correlations is implemented at solving management problems of Siberian agricultural lands: a vector layer of fields as controlled objects is formed; in accordance with the issues of the problem description, certain attribute information is formed; collection, pre-processing and analysis of this data is carried out. Therefore, the cycle “model” - “implementation” - “experimental studies” containing the necessary feedback for model adjustment is implemented. The result of this cycle functioning is the formation of the formalized models for control problems solution, tested in the system under specified conditions. Later these models may be alienated and used to solve similar problems without involvement of any experts.