The phrase "aggregate preference" is correct and usable in written English.
It can be used in contexts related to economics, decision-making, or data analysis where collective choices or opinions are being discussed.
Example: "The study aimed to determine the aggregate preference of consumers regarding sustainable products."
Alternatives: "collective preference" or "overall preference".
The aims of this study are (1) to construct a hierarchy for evaluation using criteria against the UD principles, (2) to develop a convenient and effective eigenvalue algorithm for deriving the weights of criteria, and (3) to aggregate preference information and rank the order of decision alternatives by using linguistic variables associated with fuzzy weighted average techniques.
Under certain assumptions, the overall or aggregate preference ordering is compatible with EU theory.
Combined with aggregate preferences for protein types, there is potential to utilize aggregation for the detection and extraction of low-concentration species.
Past research emphasizes differences in aggregate preferences due to context effects, but is incomplete in some important respects.
The methodology allows multiple decision makers to aggregate preferences for different alternatives evaluated by different decision makers in a participative fashion.
To estimate WTP researchers need to ask questions involving counterfactual prices, to specify doubtful implementation rules, and to aggregate preferences in a way that is inconsistent with political rights.
Model parameters of the most theoretically appealing specification include estimates of means (i.e., aggregate preferences for the attributes studied) and regression coefficients for the effects of latent variables on the taste sensitivities common to the decision scenarios (i.e., structure of preferences in relation to the attributes).
Peixoto says that on social networks "you can brainstorm and you can aggregate preferences".
On a more general basis, our results highlight that the aggregate preferences and behaviors of large numbers of people can nowadays be observed in real time, or even forecasted, through open source data freely available in the web.
Favorable information produced little movement in aggregate preferences.
Perhaps more disheartening is that shifts in aggregate preferences are due more to negative information than positive information.
