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The reasoning technique also provides a means for the creation of new knowledge.
According to the LRG, a reasoning technique based on confidence is implemented to interactively validate features.
In addition, this paper proposes the best reasoning technique for diabetic expert systems.
CEC∗ is a qualitative reasoning technique for solving such comparative analysis (CA) problems.
The probabilistic reasoning technique of BN can effectively achieve the fusion of uncertain information, which is vital for risk assessment.
Using a backward reasoning technique we derive the minimal context (what must have happened) that explains the observed events.
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It implements its capabilities by utilizing model-based reasoning techniques.
Additionally, featured with ontology reasoning techniques, the proposed approach can provide a series of operation assistances.
In such setups, reasoning techniques are usually applied on metadata derived from a single ontology.
We present ontology-based transformation and reasoning techniques for layered semantic service architecture modelling.
Diabetes needs greatest support of reasoning techniques for diagnosis and treatment.
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