Sentence examples for aggregated decision from inspiring English sources

The first represents aggregated decision chains across seven individuals who exhibited similarities in their use of the organizational memory.

An economy is the product of billions of aggregated decisions, and all those decisions are made based on beliefs about what everyone else is going to do.

In these cases, anchors result from publicly observable and aggregated decisions of other market participants.

This paper argues that, in a capitalist economy, the overall level of regional economic performance results from aggregated decisions of firms.

As industries consist of firms producing close substitutes for one another (Porter, 1980), the processes of regional industrial path development result from aggregated firm decisions, including those of newly introduced firms.

At its very simplest monitoring is a three stage process illustrated by Figure 1: the collection of relevant state, the analysis of the aggregated state and decision making as a result of the analysis.

In order to derive a condition for switching between the expert and aggregated rules for repeated decisions, we first make the following assumption: For each decision, a group uses the expert rule if its optimality condition (equation 2, Model 1) is satisfied; and switch to the aggregated rule if the condition is violated.

The AIJ method implies that the group decides as a new individual whereas the AIP method is based on the assumption that each individual decides on her or his own and the resulting decisions are aggregated [21].

This is because centralised authority is employed to make decisions about the use of resources, rather than the 'invisible hand' [ 11] of the market, under which many individual decisions are aggregated to form an equilibrium.

Finally, it calculates the similarity degree between the obtained normalized aggregated evaluating vector of each decision maker and the obtained normalized aggregated group evaluating vector of all decision makers for changing the weights of the decision makers until the group consensus degree is larger than or equal to a predefined consensus threshold value.

"There's a lot of data out there, but you've not seen people really using that aggregated data to drive better decision-making for the end users," he says.