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Establish intermediate measures and track progress.
In many real situations, the intermediate measures consist of desirable and undesirable outputs.
We calculate the efficiency of this model by considering a series of intermediate measures and constraints.
As a first step, these intermediate measures should be abolished for certain titles, i.e., for certain types of judgments.
Operation under different levels of risk exposure is modelled through conditions imposed on the intermediate measures.
Undesirable products in this paper are studied in two different cases: either as final outputs or as intermediate measures.
The non-parametric Data Envelopment Analysis (DEA) literature on network-structured performance analysis normally considers desirable intermediate measures.
The motivation of this study is the application of the weak disposability to modeling network DEA with undesirable intermediate measures.
As a result, some intermediate measures are lost in the process of changing the inputs to outputs.
The intermediate measures arise from a tempering of the likelihood, or, equivalently, a rescaling of the noise.
It had previously discussed the first one: abolishing intermediate measures for judgments in certain areas and for certain types of claims.
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