aggregation first. Consequently, we must weigh up the benefits of richer informational content against the increased computational … synthesise our findings into practical guidelines that help users choose the aggregation level that balances statistical quality …

to manage uncertain expert information more accurately. In addition, we modify prioritized aggregation operators by …

resulting ambiguity injects uncertainty in the decisionmaking process. We argue that entropy-based aggregation is a convenient … proposed aggregation tends to robustify the decision-making process to various sources of risks and uncertainty. We find … compelling evidence for the advantages of entropy-based aggregation for forecasting inflation. …

systematic approach that employs time-series aggregation to reduce computational complexity while providing a prediction of the …

transformed to an index variable using four distinct aggregation techniques (discretionary weighting, optimized weighting …