Abstract
The use of proposed technology is oriented for persons, who want to interact with systems to make relevant decisions in real-time, fuzzy conditions, heterogeneous subject areas and multi-lingual communication, where the situations are unknown in advance, fuzzy structured and not clearly regulated. The essence of the technology consists in the situational control of fuzzy data, information and knowledge, extracted from texts in different natural languages, dissimilar subject areas for situational fuzzy control of the object in Intelligent real-time system. The technology is formalized using Fuzzy Logic, Situational Control theories and is defined by methods of knowledge representation, situational data control, fuzzy logic inference, knowledge modeling, generalization and explanation knowledge, dialogue control, machine translation and others.
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Khayut, B., Fabri, L., Abukhana, M. (2014). Modeling, Planning, Decision-Making and Control in Fuzzy Environment. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_13
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DOI: https://doi.org/10.1007/978-3-319-03674-8_13
Publisher Name: Springer, Cham
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