The phrase "aggregate criteria" is correct and usable in written English.
It can be used when discussing a set of standards or benchmarks that are combined to evaluate or assess something collectively.
Example: "The study used aggregate criteria to determine the overall effectiveness of the program across different demographics."
Alternatives: "combined standards" or "collective benchmarks".
The procedure uses both the modified coarseness factor and percent retained charts to establish an optimal blend of user-selected aggregates, criteria that are usually not implemented simultaneously.
Even though they discuss priority setting of health interventions, and not health research as focused here, the rationale of aggregating criteria in subsets was useful to reduce the original list of criteria used in our study, and helped define the final list of criteria submitted to respondents.
An aggregate is continuously computed based on an aggregation function provided by the aggregation criteria.
A number of aggregates are computed and delivered to the applications as defined by the aggregation criteria.
The Fuzzy Synthesis Programming for Absolute Measurement FSPAMM) including Integrated Fuzzy Scores of Individual Expert (IFSIE) and Group Integrated Fuzzy Score GIFSS) is proposed to aggregate the criteria values from various experts.
This functionality is beneficial in various other types of queries, but it does not directly address the needs of aggregate inclusion/exclusion criteria such as those found in data request #11.
The current Superpave Voids in Mineral Aggregate (VMA) criterion relates mixture durability with VMA.
Design optimization problems have normally been formulated by aggregating diverse criteria into one single objective function subject to a set of constraints.
Biological reasons for the observed environmental influences on the size of soil aggregates, a criterion of humus form classification, were discussed to the light of knowledge on annelid (earthworm and enchytraeid) ecology.
The weights can then be aggregated with criterion values to arrive at a single scalar value for each decision variant (e.g. each location) representing the relative strength of the given variant.
