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The priority matrix represents the weight of each criterion.
This matrix represents the uncertainty of the detection from which the criterion is derived.
Each row of the matrix represents the resource allocation strategy for the specific user.
The matrix represents the benefit to system which secondary user n applies the channel j.
This matrix represents the possibilities to provide a user with a suitable connection.
The matrix represents the network code, which has to be designed.
The condition number of the observation matrix represents the upper bound for input/output error.
Each cell of this matrix represents the related fact using the dedicated measure.
This weight matrix represents the features of input training vectors [7].
The symbol ∗ within a matrix represents the symmetric term of the matrix.
The diagonal of the matrix represents the diagnosis success rate of each problem in the system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com