MODELS AND ALGORITHMS OF THE SOLUTION BASED ON VERBAL DATA ANALYSIS IN PRODUCTS ON PLATFORM 1C: ENTERPRISE
A.V. Kondrashov, N.A. Popova
This article discusses the problem in taking responsible managerial decisions, which significantly affect the development of the company, the organization of the production process, the definition of the company’s strategy. For the tasks of this plan are software – decision support systems. This is one of the varieties of forms of artificial intelligence, designed to help decision-makers. There are a large number of decision support systems based on quantitative data, at all stages of the analysis to solve the problem of decision making. Verbal analysis of solutions, in contrast to them, is one of the sections in the theory of decision-making based on the use of non-numerical, qualitative information. It was revealed that there is a small number of decision support systems based on methods and algorithms of verbal analysis. In this paper, we review the main algorithms and methods for verbal analysis of solutions, such as: the ARAMIS method, the AIP method, as well as the basic methods of multi-criteria choice, and provides a model reflecting the interaction of products based on the 1C: Enterprise platform and implementing the listed methods of verbal analysis of solutions. The model shown combines various methods of verbal analysis of solutions, multicriteria selection and coordination procedures.
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