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This paper reviews three emerging methodologies for identifying, classifying and evaluating CSFs in IT projects: Critical Success Chains (CSC), Analytic Hierarchy Process (AHP) and Fuzzy Cognitive Maps (FCM).
The average CSFs in the Banzhai, Huanghou and Houzhai karst catchments were 29 ± 3, 33 ± 5 and 39 ± 8 t-CO2 km−2 a−1, respectively, which are 15 times higher than those CSFs by silicate weathering in the silicate-rock catchments with similar hydrology, showing the dominant role of carbonate weathering in the rock-weathering-related carbon sink.
Perusal of literature indicates that fuzzy-TOPSIS has not been applied earlier for prioritization of CSFs in Indian electronics industry.
The VSNR is an interesting metric since it is based on contrast thresholds and does not modulate the entire image as the CSFs in, for example, S-CIELAB.
The UK10K model establishes an important precedent for the feedback of CSFs in genetic and genomic research.
This raises the possibility of researchers outside UK10K also identifying CSFs in the data to which they have been granted access.
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