This paper presents the ordered weighted average weighted average inflation (OWAWAI) and some extensions using induced and heavy aggregation operators and presents the generalized operators and some of their families. The main advantage of these new formulations is that they can use two different sets of weighting vectors and generate new scenarios based on the reordering of the arguments with the weights. With this idea, it is possible to generate new approaches that under- or overestimate the results according to the knowledge and expertise of the decision-maker. The work presents an application of these new approaches in the analysis of the inflation in Chile, Colombia, and Argentina during 2017.

中文翻译：

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对加权平均通货膨胀使用有序加权平均

本文介绍了有序加权平均加权平均通货膨胀（OWAWAI）和一些使用诱导和重聚合算子的扩展，并介绍了广义算子及其一些家族。这些新公式的主要优点是它们可以使用两组不同的权重向量，并根据使用权重对参数进行重新排序来生成新场景。有了这个想法，就有可能根据决策者的知识和专长生成低估或高估结果的新方法。这项工作展示了这些新方法在分析 2017 年智利、哥伦比亚和阿根廷通货膨胀中的应用。