我们推断，模式机制能够良好地适应于对离散的、单个选择的模型单元进行小范围的转换。
We concluded that the patterns mechanism is best-suited to small-scale transformations on discrete, individually selected model elements.
另外，区间还能通过离散的选择方法如选择聚合和最大区别缩放等来直接从消费者偏好做模型。
Alternatively, segments can be modelled directly from consumer preferences via discrete choice methodologies such as choice-based conjoint and maximum difference scaling.
我们利用一份简短的结构性问卷对加纳所有四年级医科学生开展了离散选择试验，并使用组合logit模型来估计每个工作属性的效用。
We conducted the DCE among all fourth year medical students in Ghana using a brief structured questionnaire and used mixed logit models to estimate the utility of each job attribute.
应用推荐