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To speed up the inference mechanism, a cardinality-based fitness function, especially developed for inferring large-scale GRNs is proposed to allow incorporation of knowledge of maximum in-degree.
These fuzzy local models are combined to get an overall fuzzy inference mechanism.
The formulation of these rules and the inference mechanism are based on fuzzy logic.
A new semi-non-parametric inference mechanism is implemented for reasoning.
The autopilot design is based on a new approach which uses a Gaussian fuzzy inference mechanism.
There is a lot of vagueness and randomness in the knowledge description and inference mechanism.
To annotate data with these rules, we need an inference mechanism over trajectory ontology.
A reasoning based on such an inference mechanism is referred to as abductive reasoning.
Finally, the results show the positive impact of the last refinement on reducing the complexity of the inference mechanism.
In this research, a decision making system, based on fuzzy inference mechanism as proposed by Mamdani, is presented.
Backward type inference addresses the problem of inferring type specifications for dynamic data in Ptolemy II by leveraging its existing type inference mechanism.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com