Fuzzy Logic for
Autonomous Dynamic Scheduler with Conflict Detection and Resolution
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Abstract The proposed demo presents a
new approach to face the autonomous updating of the on board scheduled
activities for space applications. The problem is treated as a
multi-criteria decision-making on a dynamic knowledge base of the
entire system. A search direction technique is proposed based on
different ranking processes on the decisional nodes to be followed for
solving violations.
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