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首页> 外文期刊>Journal of Uncertainty Analysis and Applications >Trapezoid fuzzy linguistic prioritized weighted average operators and their application to multiple attribute group decision-making
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Trapezoid fuzzy linguistic prioritized weighted average operators and their application to multiple attribute group decision-making

机译：梯形模糊语言优先考虑加权平均运算符及其在多个属性组决策中的应用

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摘要

The prioritized weighted average (PWA) operator was originally introduced by Yager. The prominent characteristic of the PWA operator is that it takes into account prioritization among attributes and decision makers. Motivated by the idea of PWA operator, we develop some prioritized weighted aggregation operators for aggregating trapezoid fuzzy linguistic information. The properties of the new aggregation operators are studied in detail. Furthermore, based on the proposed operators, some approaches to deal with multiple attribute group decision-making problems under trapezoid fuzzy linguistic environments are developed. Finally, a practical example is provided to illustrate the multiple attribute group decision-making process.
机译：优先考虑的加权平均（PWA）操作员最初由Aager引入。 PWA算子的突出特征是它考虑了属性和决策者之间的优先级。通过PWA运算符的启用，我们开发了一些优先考虑的加权聚合运算符，用于聚合梯形模糊语言信息。详细研究了新聚合运营商的属性。此外，基于所提出的运营商，开发了一些处理梯形模糊语言环境下的多个属性组决策问题的方法。最后，提供了一个实际的例子来说明多个属性组决策过程。

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