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Finally, results of EWMA control chart demonstrate the feasibility of the proposed fuzzy AHP-based algorithm in effectively selecting the evaluation outcomes and evaluating the precision of the worst performing machines.
In this way, I evaluate to what extent evaluation outcomes based on peer review correspond to evaluation outcomes based on citation counts.
Despite efforts at standardization, replication by different evaluators is difficult, making evaluation outcomes open to interpretation.
Finally, results of the EWMA control chart and Process Capability Indices demonstrate the feasibility of the proposed ANP-based algorithm in effectively selecting the evaluation outcomes and in evaluating the precision of the optimal performing machines.
Additional file 2 summarizes available information on evaluation designs and evaluation outcomes for the seven programs that were evaluated.
Evaluation outcomes are discussed.
The listening test data analysis verifies the objective evaluation outcomes.
Additionally, the proposed algorithm can select the evaluation outcomes to identify the optimal machine of precision.
Additionally, the proposed algorithm can select the evaluation outcomes to identify the worst machine of precision.
Decision Makers can select evaluation outcomes to identify the most precise machine.
In addition to the analytical results for the throughput and latency metrics, we also present the evaluation outcomes of the HIPESYN obtained by computer simulation.
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