为此，引入一个具有更好适应性的度量(称为分离度)和模糊加权技术构造新目标函数。
Therefore, the better adaptive margin metric (named separation) and the fuzzy weighting technique were introduced for developing the new optimal objective function.
运用三角模糊数的概念，根据个体加权向量，提出衡量个体间一致性的相似度量函数，由此构造个体、群体的一致性指标。
This function can be used to measure the similarity between individual preference and to construct individual and group consensus index.
根据建立安全度模糊函数和易察觉模糊函数，确定了转向避碰中大幅度量化值。
According to the fuzzy functions of safety degree and readily apparent, the value of substantial course alteration is determined.
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