GCRIGerman Center for Research and Innovation
GCRIGlobal Catastrophic Risk Institute (think tank)
GCRIGlasshouse Crops Research Institute (est. 1954; UK)
GCRIGujarat Cancer & Research Institute (India)
GCRIGreat Commission Resources International (Virginia)
GCRIGeneral Collective Routing Indicator (RI) (US DoD)
GCRIGold Coast Resources Inc. (Nevada)
GCRIGeneral Color Rendering Index (vision science)
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References in periodicals archive ?
(A) If there are n CRIDs, in accordance with the GCRI feature set {[F.sub.1], [F.sub.2], ..., [F.sub.m]}, there will be m selected CRI features to constitute an n x m matrix X:
(D) In the GCRI feature set {[F.sub.1], [F.sub.2], ..., [F.sub.m]} (m [member of] [for all]N), because each feature mayhave no fewer than one case, the dissimilarity measurement formula between [F.sub.k] and [y.sub.xk] (k = 1, 2, ..., m) is
If the GCRI feature set and their cases (set of standardized values) are selected as indicated in Table 6, these cases will produce the quantitative standardized feature values of 30 CRIDs listed in Table 7, which constitutes a 30 x 6 matrix.
Finally, the values in Table 7 were processed in terms of the dissimilarity measurement formula for selected GCRI cases and their corresponding feature values, and the results are listed in Table 8.
According to results of dissimilarity with GCRI cases, those matching CRIDs are 1, 5, 8, 10, 14, 15, 17, 19, 20, 21, 22, 23, 24, 26, 29, which means that they are compatible with product family model.
Because original CRI is hardly utilized for modeling product family, GCRI is widely adopted in order to transform CRI into a structure model.
The global analysis diagram shown in Figure 5 affords a proportion of dissimilarity with a GCRI set in all CRIDs and that with GCRI cases in each CRID.
Likewise, the CRI classification analysis discovers which GCRI feature is easy to be challenged or ignored.
An association between the classification analysis and product configuration is achieved by using a flexible classification based on the fact that the selective GCRI is regarded as the centroid.
Meanwhile, using GCRI to discover the specific features, enterprises can determine market positioning of their future product and predict the corresponding product family model.
Table 1 shows the levels of corruption in 13 Asian countries according to the three indices, the BII, CPI, and GCRI. Singapore is perceived to be the least corrupt Asian country by all three indices.
(*) According to Wei, the original BII, CPI, and GCRI were re-scaled so that higher scores imply more corruption.