Fuzzy ontological model of knowledge representation for the humanitarian response

The article considers the problems of knowledge representation in the context of creating a decision support system for humanitarian aid.To overcome the uncertainty and inconsistency of the data, it is proposed to combine Case Base Reasoning with the ontology of the domain by introducing fuzzy relations and fuzzy inference.The developed fuzzy ontological model allows adapting the solution obtained with the help of Case Base Reasoning by searching for similar fragments in the main concepts of the domain, taking into account the fuzzy relations between concepts.In the process of problem solving, the ontology accumulates knowledge about fuzziness by enumerating the values of the membership function of fuzzy relations.The model can be used for real-time decision making in humanitarian response and for modeling and forecasting risks and resource availability during humanitarian crises.