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The three vectors correspond to professional ethics $(0.48, 0.38, 0.14)$, the amount of teaching exercise $(0.65, 0.26, 0.09)$, and the amount of teaching $(0.57, 0.30, 0.13)$. These represent the membership degrees or normalized evaluation weights for each indicator.

Conditions: The vectors are displayed as part of the example preceding the conclusion section.; Each component is a decimal between 0 and 1.

The three vectors correspond to professional ethics $(0.48, 0.38, 0.14)$, the amount of teaching exercise $(0.65, 0.26, 0.09)$, and the amount of teaching $(0.57, 0.30, 0.13)$. These represent the membership degrees or normalized evaluation weights for each indicator.

Conditions: The vectors are displayed as part of the example preceding the conclusion section.; Each component is a decimal between 0 and 1.

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.