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Performing an audit to measure the inconsistency of the "business-as-usual" approach is often a good first step.
Computers & Industrial Engineering, 101, 184 193.] defined a geometric consistency index (GCI) to measure the inconsistency level of an interval multiplicative reciprocal matrix (IMRM) and to devise a GCI induced ordered weighted geometric averaging (GCI-IOWGA) operator, and proposed a method for determining the associated weight vector of the GCI-IOWGA operator.
In the next section, we describe how we use LCS to measure the inconsistency of a CV dataset.
The appropriateness of pooling data across studies was assessed using Cochrane's χ 2 test and the I 2 test for heterogeneity, which measure the inconsistency across the study results and describe the proportion of the total variation in the study estimates that is due to heterogeneity, rather than sampling error.
The appropriateness of pooling data across studies was assessed using Cochrane's χ test and the I test for heterogeneity, which measure the inconsistency across the study results and describe the proportion of the total variation in the study estimates that is due to heterogeneity, rather than sampling error.
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In this paper, we propose a graph-based approach to measuring the inconsistency for a propositional knowledge base with one or both of two typical types of constraints on modifying formulas.
The observation noise measures the inconsistency in the user response.
Step 6: As with the traditional AHP, the proposed FSAHP approach also measures the inconsistency of each FPCM.
VE measures the inconsistency in movement outcome.
We measured the inconsistency of study results using the I heterogeneity statistic to determine if the variation in outcomes across trials was due to study heterogeneity rather than chance (Higgins 2011).
This is why, in this paper, we tackle the open problem of measuring the inconsistencies of Lattes datasets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com