Sentence examples for imprecision of the data from inspiring English sources

Trapezoidal fuzzy numbers are adopted to handle inherent uncertainty and imprecision of the data involved in decision process.

The formalism that we used deals with the imprecision of the data and the approximation of expert reasoning.

Specifically, first subsection describes the components needed to gather the relevant data from a person when she is performing everyday activity and how the inherent noise and imprecision of the data are removed.

Furthermore, the records of RGTB327 and RGTB423 in NCBI were marked as 'removed' recently, indicating that the authors and/or the staff may realize the imprecision of the data.

On further examination, we discovered that the imprecision of the GIS data, such as the address codes and thus the distance to major roads, could be as large as 100 m, depending on the geocoding algorithm.

Existing approaches in the literature indicate that, computation of different data forms are closely linked with the level of imprecision, which the data already have.

Thus, there are two sources contributing to positional error: i) imprecision in determination of actual spot position, through range and range-rate determination; and ii) imprecision in reduction of the data to produce valid orbits, i.e. determination of observations when only timing information was available.

With a focus on engineering problems the aim is to bridge the imprecision of data to the decision making process.

In this article, we focus on mobile wellness and health-related applications from the perspective of the level of imprecision present in the data used in the recommendation systems.

The advantages of this approach include the following: modelling of non-linear behaviour; accommodation of imprecision in the normalisation of the data; aggregation without subjective allocation of weights to the indicators; ranking of alternatives in such a way that the output value can be treated as the health value or integrity index.

The uncertainty and imprecision of ecotoxicological data are very high because of the use of various data sources, various investigation tests and the difficulty of comparing these data.