The phrase "aggregation of output" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or any field where combining results or outputs is relevant.
Example: "The aggregation of output from various sources allowed us to gain a comprehensive understanding of the market trends."
Alternatives: "collection of results" or "compilation of outputs."
Several evaluations of large, publicly-funded research programs have conducted bibliometric analysis as one component of a comprehensive and integrated evaluation approach designed to assess processes and outcomes of scientific initiatives using quantitative indicators that enable aggregation of output [16] [18].
This comparison enables us to investigate the change of accuracy due to aggregation of output (i.e. merging output lists together).
However, exploring the MDCs revealed that although there were differences in the prevalence of individual DRGs, aggregation of output to MDC level cancelled out the effects of coding individual DRGs.
This is because the GA selected so few features only when they achieved sufficient classification accuracy by themselves, in exactly this combination; aggregation of output destroys the exact combinations.
The Aggregationr is used tofselect the minimum membership values outputsthe three input membership values.
Step 3: Aggregation of outputs In this step, the system collects, in the union form, all outputs that result from applying the IF-THEN rules and then apply the OR operator to these outputs to select the maximum evaluating values to construct a new aggregate fuzzy set.
Results: In this article we present CPD, its data structure and user interface, propose a minimal set of information describing RNA interference experiments, and suggest a generic schema for management and aggregation of outputs from phenotypic or molecular localization experiments.
c) Aggregation of rule outputs: outputs for all rules are then aggregated into a single fuzzy distribution.
The application output is an aggregation of the outputs of all their tasks.
Furthermore, some special instructions (with a total of 24 lookups + 16 compares + 16ϒ MAX operations) are required to perform the FIS, which come primarily from the fuzzification of two input variables (8 lookups), fuzzy OR operations (16 compares), fuzzy minimum implication (16 lookups), and aggregation of the output (16ϒ MAX operations).
Next, aggregation of the output from the involved computational methods shall be performed (step 3), and then subsequently evaluating and ranking the provided indications based on reference knowledge sources, before providing the outcomes of the analysis to the respective end-users (step 4).
