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Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework

机译:绝对数量级推理应用于社会多标准评估框架

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A social multi-criteria evaluation framework for solving a real-case problem of selecting a wind farm location in the regions of Urgell and Conca de Barbera in Catalonia (northeast of Spain) is studied. This paper applies a qualitative multi-criteria decision analysis approach based on linguistic labels assessment able to address uncertainty and deal with different levels of precision. This method is based on qualitative reasoning as an artificial intelligence technique for assessing and ranking multi-attribute alternatives with linguistic labels in order to handle uncertainty. This method is suitable for problems in the social framework such as energy planning which require the construction of a dialogue process among many social actors with high level of complexity and uncertainty. The method is compared with an existing approach, which has been applied previously in the wind farm location problem. This approach, consisting of an outranking method, is based on Condorcet's original method. The results obtained by both approaches are analysed and their performance in the selection of the wind farm location is compared in aggregation procedures. Although results show that both methods conduct to similar alternatives rankings, the study highlights both their advantages and drawbacks.
机译:研究了用于解决选择加泰罗尼亚(西班牙东北部)的Urgell和Conca de Barbera地区的风电场位置的实际问题的社会多标准评估框架。本文采用基于语言标签评估的定性多准则决策分析方法,能够解决不确定性并处理不同级别的精度。此方法基于定性推理,作为一种人工智能技术,用于评估和排序带有语言标签的多属性替代方案,以处理不确定性。此方法适用于社会框架中的问题,例如能源计划,这些问题要求在具有高度复杂性和不确定性的许多社会参与者之间构建对话过程。将该方法与现有方法进行了比较,该方法先前已在风电场位置问题中应用。这种方法由排名较高的方法组成,基于Condorcet的原始方法。分析了这两种方法获得的结果,并在汇总程序中比较了它们在选择风电场位置时的性能。尽管结果表明这两种方法的排名都相似,但该研究强调了它们的优缺点。

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