Analytical methods for Multi-Criteria Decision Analysis (MCDA) support the non-monetary valuation of ecosystem services for environmental decision making. Many published case studies transform ecosystem service outcomes into a common metric and aggregate the outcomes to set land use planning and environmental management priorities. Analysts and their stakeholder constituents should be cautioned that results may be sensitive to the methods that are chosen to perform the analysis. In this article, we investigate four common additive aggregation methods: global and local multi-attribute scaling, the analytic hierarchy process, and compromise programming. Using a hypothetical example, we explain scaling and compensation assumptions that distinguish the methods. We perform a case study application of the four methods to re-analyze a data set that was recently published in Ecosystem Services and demonstrate how results are sensitive to the methods.

中文翻译：

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使用多准则决策分析的非货币估值：累加聚合方法对规模和补偿假设的敏感性。

多标准决策分析（MCDA）的分析方法支持用于环境决策的生态系统服务的非货币估值。许多已发表的案例研究将生态系统服务成果转化为一个通用指标，并对成果进行汇总，以设定土地利用规划和环境管理重点。应该警告分析人员及其利益相关者，其结果可能对选择进行分析的方法敏感。在本文中，我们研究了四种常见的累加聚合方法：全局和局部多属性缩放，解析层次结构过程以及折衷编程。使用一个假设的示例，我们解释了区分方法的缩放比例和补偿假设。