Sentence examples for distribution of decisions from inspiring English sources

Advances in embedded controllers which are continuously improving computational capabilities allow for software modularization and distribution of decisions.

Because of such a skewed distribution of decisions, a distorted interpretation of kappa could then occur.

The distribution of decisions made by the participating REBs is as follows: 68.2% rejected the protocol because of the creation of a biobank, 22.7% approved the protocol but under certain conditions, 6.8% approved unconditionally and 2.3% preferred not to answer.

However, quantitative studies of the distribution of decision strategies and related knowledge are missing.

Then, assuming the uniform distribution of decision-maker preferences, the alternatives were ranked, and the relative importance of each criterion in the decision-making process was obtained.

Solomon attends to the patterns of acceptance and to the distribution of decision vectors, regardless of the interactions among community members, while Longino attends to deliberative processes and interactions.

Moreover, by assessing the distribution of decision variables, the variables that play a major role in trending between the objective functions are found.

Based on the joint probability density distribution of decision-making options for multiple contributing factors, a multi-agent model is established to reflect the purchase willingness of potential EV users [7].

In this paper the flexibility and self-control of the production system was applicated through the distribution of decision-making by adding supplementary information acquisition and processing tools to former executive units.

It is also shown that, in the regime studied, the decision events become Poissonian in the limit of vanishing noise, leading to an exponential distribution of decision times.

Predictions amenable to experimental check include those related to the shape (skewness) of the distribution of decision times for the relaxation and the noise-driven regimes for maximally ambiguous stimuli.