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Application of decision tables transformations for prototyping knowledge bases in the case of forest fire risk forecasting

Авторы: Yurin A.Yu., Nikolaychuk O.A., Dorodnykh N.O.

Журнал: CEUR Workshop Proceedings: 4th Scientific-Practical Workshop Information Technologies: Algorithms, Models, Systems (ITAMS 2021, Irkutsk, 14 September 2021)

Том: 2984

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Год: 2021

Отчётный год: 2021

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Аннотация: In this paper, we consider the application of the PESoT technology and a tool (namely, Personal Knowledge Base Designer) for prototyping rule-based knowledge bases by using the automated analysis and transformation of decision tables presented in the CSV format. Created prototypes of knowledge bases designed for intelligent decision-making support when analyzing and forecasting the risk (probability) of forest fires based on information about the forest fire hazard class, weather conditions, and other factors. A description of the main stages of the approach and an illustrative example are presented.

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