The paper states that the evaluation results are first normalized to obtain an evaluation result description. Then, the final category is identified according to the principle of membership degree, which yields the label "excellent" for the teacher's performance.
Conditions: The result vectors must first be normalized.; Final identification uses the principle of membership degree.; The displayed example concerns a teacher performance label.
The paper states that the evaluation results are first normalized to obtain an evaluation result description. Then, the final category is identified according to the principle of membership degree, which yields the label "excellent" for the teacher's performance.
Conditions: The result vectors must first be normalized.; Final identification uses the principle of membership degree.; The displayed example concerns a teacher performance label.
The coefficient of variation C measures the dispersion of expert opinions regarding factor importance. If C is less than 0.25, the judgments are considered valid, and the final weight is determined by averaging these valid inputs.
Conditions: The coefficient of variation C must be less than 0.25 for the judgment to be valid.; Experts provide pairwise comparisons of factor importance.
The coefficient of variation C measures the dispersion of expert opinions regarding factor importance. If C is less than 0.25, the judgments are considered valid, and the final weight is determined by averaging these valid inputs.
Conditions: The coefficient of variation C must be less than 0.25 for the judgment to be valid.; Experts provide pairwise comparisons of factor importance.