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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.
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This is why, in this paper, we tackle the open problem of measuring the inconsistencies of Lattes datasets.
The observation noise measures the inconsistency in the user response.
In the next section, we describe how we use LCS to measure the inconsistency of a CV dataset.
Step 6: As with the traditional AHP, the proposed FSAHP approach also measures the inconsistency of each FPCM.
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.
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).
Measuring the degree of inconsistency of a belief base is an important issue in many real-world applications.
Another lack in current studies in this area is about the role of free formulas of a belief base in measuring the degree of inconsistency.
To address these two issues, we propose a normalized framework for measuring the degree of inconsistency of a belief base which unifies the impact of both consistent subsets and minimal inconsistent subsets.
Heterogeneity was initially assessed by measuring the degree of inconsistency in the studies' results (I).
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CEO of Professional Science Editing for Scientists @ prosciediting.com