Control Systems and Computers

DOI: https://doi.org/10.15407/usim.2016.04.062

Upr. sist. maš., 2016, Issue 4 (264), pp. 62-70.

UDC 330.46:338.431.84

Sobolevskaya L.I., International Research and Training Center for Information Technologies and Systems NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine

Approach to the Intellectualization of the Decision Support Systems in the Evaluation and Analysis of the Plant Growing Enterprises

 The Approach to the Intellectualization of the Decision Support Systems in the Evaluation and Analysis of the Plant Growing Enterprises Keywords: agrarian sector, expert systems, Bayesian approach, Bayesian Networks. Expert systems (ES) are regarded as as type of system for the support of decision-making processes which allows using knowledge and expertise accumulated by the specialsts to generate new knowledge. The aim of the research is to define the main principles of the development of a knowledge-oriented model taking into consideration the factors necessary for the stable development of the plant growing branch. The research proves expediency of constructing and using the Bayesian Belief Networks as an expert system (ES) for analysing the economical effectiveness of plant growing enterprises. For calculation of the certain indices it is offered to construct and use the machine and probabilistic model for the research of the material migration and accumulation in a particular soil type when estimating the crop capacity of agricultural plants. The developed model systems allows to rang the enterprises according to the indices characterising the economical stability of the branch. Intellectualization of the decision-making processes in the framework of modern informational executive systems facilitates the effectiveness of the managerial decision-making.

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Keywords: agrarian sector, expert sittings, Bayesian approach, Bayesian networks.

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