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By this nature, this FNN model is geared toward capturing relationships between information granules fuzzy sets.
Thirdly, no sufficient attention is being paid to capturing relationships among product components, despite such dependencies possibly exhibit a major impact on product functions.
In the deep sea, biological data are often sparse; hence models capturing relationships between observed fauna and environmental variables (acquired via acoustic mapping techniques) are often used to produce full coverage species assemblage maps.
When training and testing populations are related, capturing relationships with GS may lead to higher accuracy than using only the significant markers in marker-assisted selection.
The utility of capturing relationships between concepts is thus that they convey semantics; content semantics are expressed by identifying how concepts relate to each other in the hierarchical knowledge space.
We also specify, for data with specific characteristics, which methods may be more useful for powerfully detecting subtle associations or for capturing relationships between exposure profiles over time in relation to a binary endpoint of interest.
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By accommodating the formalism of fuzzy sets, the model is geared towards capturing relationship between information granules (fuzzy sets) rather than concentrating on plain numeric data.
Nonetheless, detailed diary studies have shown that these types of social network questionnaires are reliable at capturing relationship change over time, including changes in contact frequency and changes in network size (Asendorpf and Wilpers 1998).
The 2 distances were used to capture relationships between voxels at larger distances and 7 directions to optimise computational time.
The Open Provenance Model is designed to capture relationships amongst data values, and amongst processors that produce or consume those values.
Note we excluded from DN the disease pairs where one disease is a descendant of the other in the MeSH tree since our goal is to capture relationships between different diseases.
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