BACKGROUND Decision making in the health area usually involves several factors, options and data. In addition, it should take into account technological, social and spatial aspects, among others. Decision making methodologies need to address this set of information , and there is a small group of them with focus on epidemiological purposes, in particular Spatial Decision Support Systems (SDSS). METHODS Makes uses a Multiple Criteria Decision Making (MCDM) method as a combining rule of results from a set of SDSS, where each one of them analyzes specific aspects of a complex problem. Specifically, each geo-object of the geographic region is processed, according to its own spatial information, by an SDSS using spatial and non-spatial data, inferential statistics and spatial and spatio-temporal analysis, which are then grouped together by a fuzzy rule-based system that will produce a georeferenced map. This means that, each SDSS provides an initial evaluation for each variable of the problem. The results are combined by the weighted linear combination (WLC) as a criterion in a MCDM problem, producing a final decision map about the priority levels for fight against a disease. In fact, the WLC works as a combining rule for those initial evaluations in a weighted manner, more than a MCDM, i.e., it combines those initial evaluations in order to build the final decision map. RESULTS An example of using this new approach with real epidemiological data of tuberculosis in a Brazilian municipality is provided. As a result, the new approach provides a final map with four priority levels: "non-priority", "non-priority tendency", "priority tendency" and "priority", for the fight against diseases. CONCLUSION The new approach may help public managers in the planning and direction of health actions, in the reorganization of public services, especially with regard to their levels of priorities.

中文翻译：

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流行病学空间决策支持系统的新组合规则。

背景技术在健康领域中的决策通常涉及多个因素，选择和数据。此外，它应考虑到技术，社会和空间等方面。决策方法需要解决这组信息，并且其中有一小部分集中于流行病学目的，特别是空间决策支持系统（SDSS）。Methods Makes使用多标准决策（MCDM）方法作为一组SDSS的结果组合规则，其中每个模型都分析复杂问题的特定方面。具体来说，通过使用空间和非空间数据，推论统计以及时空分析的SDSS，根据地理空间中的每个地理对象，通过其自身的空间信息，然后通过基于模糊规则的系统将其分组在一起，该系统将生成地理参考地图。这意味着，每个SDSS都会为问题的每个变量提供初始评估。结果通过加权线性组合（WLC）作为MCDM问题中的标准进行组合，从而生成有关抗击疾病优先级的最终决策图。实际上，WLC比MCDM还要以加权方式作为那些初始评估的合并规则，也就是说，WLC合并了这些初始评估以构建最终决策图。结果提供了在巴西市使用这种新方法结合结核病实际流行病学数据的示例。结果，新方法为最终地图提供了四个优先级别：“非优先”，“非优先趋势”，“