卫生系统的评价模型(英文)

Finding the Good of Health Care System

构造了一个模糊数学模型和一个灰色系统预测模型来评估卫生系统的好坏并预测其发展趋势.在第一个模型中,我们通过作用于隶属向量上的灵敏度创造出一种计算权重的特殊方法.从本质上讲,作用于隶属向量上的灵敏可以通过作用于隶属函数上的灵敏度求得.基于上述基本思想,我们创造出两种计算作用于隶属向量上的灵敏度的方法.

We develop a fuzzy maths model and a GM（1,n） model to evaluate the integrated quality of the health care system, and predict the future changes. Then we analyze the influence that the changes impose on the whole system. In the first model, we create a special solution to compute the weights, using the sensitivity imposed on the subjection vectors by the metrics. Essentially, the sensitivity can translate into the sensitivity imposed on the subjection function by the metric. Based on that, we create two methods to compute the sensitivity imposed on the subjection vectors by the metrics.