Sentence examples for knowledge on the range from inspiring English sources

With extreme points or the nadir point, DMs can acquire the knowledge on the range of the PF to input their preferences more accurately [75, 76, 77].

In this paper, a new method for intelligent robust control design is presented that achieves the best possible convergence rate of the system, utilizing the knowledge on the range of uncertain parameter.

Several studies have focused on predicting individual pathways from risk antecedents, but knowledge on the range of health and behavior outcomes of developmental trajectories is still limited to a few studies.

Our hypothesis is that we can improve the estimate of hydrological predictive uncertainty, based on our knowledge of the range of data available for calibration.

Analyzing this trade-off requires knowledge of the range, biophysical limits on grid periods, and the degree of ambiguity (the maximum heights of secondary peaks in the probability of position) that can be behaviorally tolerated.

A major area of this research concerns improving knowledge on the ranges of deep-sea species, which has become particularly pertinent in light of growing human impacts in this environment [ 3].

Assessing the strength of AS relationship for a species in a given landscape requires (i) knowledge on the distributional range and potential habitats, and (ii) quantifying the abundance in the entire distributional range (Sagarin and Gaines 2002).

For example, this could be realised by restricting the freedom of the model pose using prior knowledge on the allowed range of movement of the TKR.

By giving a first glimpse of the direct effects of IL-7 on chondrocytes, the study of Long and colleagues contributes to our knowledge on the broad range of IL-7/IL-7R-driven pathways.

Clearly, determining if geographic ranges of tropical reef fishes are associated with respiratory thermal sensitivity will require more detailed knowledge on the geographical ranges and thermal performance curves of these species.

All model parameters are defined to be strictly positive, and to introduce prior knowledge on the parameter ranges, we use standard normal prior distributions in logarithmic parameter space and assume that a priori dependencies between the parameters do not exist.