Abstract
In order to more effectively cope with the real world problems of vagueness, impreciseness, and subjectivity, fuzzy discrete event systems (FDES) were proposed and developed in recent ten years. In this paper, we study the applications of FDES to information flow inference and then, to biomedical control treatment planning and decision making based on fuzzy sequential machines (FSM) theory. Through modeling security system and biomedical decision problem with FDES as an FSM, we extend propositions and procedures to decide the equivalent states, display the ideas for checking the observation label based on event-state approach to decide whether hidden massage flow exists.
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Xing, H., Qiu, D. (2012). Applications on Information Flow and Biomedical Treatment of FDES Based on Fuzzy Sequential Machines Theory. In: Huang, DS., Jiang, C., Bevilacqua, V., Figueroa, J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31588-6_8
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DOI: https://doi.org/10.1007/978-3-642-31588-6_8
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