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The maximum decision rule from the Game Theory is used to solve the fuzzy prioritization problem.
The decision rule of the ICER estimate requires knowledge as to whether the estimate is below or above an externally set value which is the maximum decision makers will be willing to pay for an extra unit of health gain.
The ICER decision rule is that if the estimated ICER lies below the ceiling ratio, which represents the maximum decision makers are willing to pay for an incremental unit of the measure of effectiveness, then the intervention concerned is deemed cost-effective.
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The original program was designed to allow maximum decision-making flexibility for each Army command, permitting commanders to "balance its military and contractor mix accordingly".
To classify a document, we employ a modified maximum likelihood decision rule, constructed so as to bias the decision towards the safe "mix" classification.
In particular, the acceptance set can be assigned according to the maximum likelihood decision rule.
The maximum likelihood decision rule is implemented by using the acceptance set (18).
The probabilities introduced above can be easily estimated for, which corresponds to the maximum likelihood decision rule.
In the final step, the classification maps of each individual scale are combined with a maximum vote decision rule and the final classification map is obtained.
Based on the maximum likelihood decision rule, the transmitted signal is detected as b ^ = arg max j = 0, 1 r j (8).
The Maximum Likelihood decision rule is one of the most widely used supervised classification algorithms (Wu and Shao 2002; McIver and Friedl 2002).
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CEO of Professional Science Editing for Scientists @ prosciediting.com