An Abstract Model does not have any associated unit of measurement. However,
system analyst tries to interpret abstract parameters into concrete approximate
retrieval algorithms through possible invented techniques. Approximate
inference algorithms embed Global Variables with a default value for exploring assessments of structural complexity in Non-Biological
Systems.
Adding approximate inference algorithms with overlapping complex default
values would create an unreliable unit of measurement.
Unreliable criteria setting of assessment hampers performance mechanisms
and generates Invisible Entities in Non-Biological and Biological
Systems.
Creating a logical measurement scale for an abstract parameter type can
ensure estimated reliability in the assessment process and make possible
predictions. It requires special skills and techniques, a relatively modest
investment, and a time frame.
System analysts must monitor an abstract parameter associated with
generalized structural model conformance. It can require sensitive undercover
operations in surrounding Systems Frameworks. The system developer synthesizes
experiments with prognostic tests to justify the validity of the logical
measurement scale for an Abstract Model.
