8 research outputs found

    Intelligent fuzzy controller for event-driven real time systems

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    Most of the known linguistic models are essentially static, that is, time is not a parameter in describing the behavior of the object's model. In this paper we show a model for synchronous finite state machines based on fuzzy logic. Such finite state machines can be used to build both event-driven, time-varying, rule-based systems and the control unit section of a fuzzy logic computer. The architecture of a pipelined intelligent fuzzy controller is presented, and the linguistic model is represented by an overall fuzzy relation stored in a single rule memory. A VLSI integrated circuit implementation of the fuzzy controller is suggested. At a clock rate of 30 MHz, the controller can perform 3 MFLIPS on multi-dimensional fuzzy data

    Fuzzy logic: implementation and applications

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    Incidence of perineurial cysts in relation to the vertebral/spinal level.

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    <p>Absolute number of MR examinations per selected spinal region: cervical –221 (146/75; female/male), thoracic –108 (69/39), thoraco-cervical –36 (25/11), thoraco-lumbar –55 (35/20), lumbo-sacral –422 (268/154).</p>a<p>absolute number of perineurial cysts/total number of examinations in which the proper part of vertebral column was evaluated.</p>b<p>relative incidence (%) of perineurial cysts in relation to the total number of the proper level of vertebral column.</p>c<p>each patient may be seen more then once in table since some multiple cysts were seen on adjusted parts of the vertebral column (e.g., cervical and thoracic, thoracic and lumbar, lumbar and sacral).</p>*<p>p<0.05 female vs male.</p
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