Environmental decisions are complex as they are multi-dimensional, highly interdisciplinary and not only involve multiple stakeholders with conflicting objectives, but also many possible alternatives with uncertain consequences. The difficulty lies in making trade-offs between tough value trade-offs on the one hand while appreciating uncertain impacts of alternatives on the other. To support decisions tackling such problems, a combination of multi-criteria decision analysis (MCDA) and environmental models is promising yet limited by the available MCDA software. Here, we present Decisi-o-rama, an open-source Python MCDA library for single and sets (portfolios) of alternatives in the context of multi-attribute value/utility theory (MAUT/MAVT). Its development was driven by four aspirations that are crucial for usability in the context of environmental decision-making: (1) interoperability, (2) uncertainty-awareness, (3) computational efficiency, and (4) integration with portfolio decisions. The results indicate that these aspirations are met, thus facilitating the adoption of MCDA methods by environmental researchers and practitioners.

环境决策是复杂的，因为它们是多维的，高度跨学科的，不仅涉及目标相互冲突的多个利益相关者，而且涉及后果不确定的许多可能选择。困难在于一方面要在艰难的价值权衡之间进行权衡，另一方面要意识到替代品的不确定影响。为了支持解决此类问题的决策，多标准决策分析（MCDA）和环境模型的结合很有希望，但受到可用MCDA软件的限制。在这里，我们介绍开源的Python Decisi-o-rama在多属性值/效用理论（MAUT / MAVT）的上下文中，MCDA库用于替代方案的单一和组合（组合）。它的发展受到在环境决策背景下对可用性至关重要的四个愿望的推动：（1）互操作性，（2）不确定性意识，（3）计算效率，以及（4）与投资组合决策的集成。结果表明满足了这些愿望，从而促进了环境研究人员和从业人员采用MCDA方法。