有序加权平均和中的诱导聚合算子

J. Merigó, N. Alrajeh, M. Peris-Ortiz
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引用次数: 2

摘要

有序加权平均(OWA)聚合是对经典加权平均的扩展,通过对参数以递减或递增的方式进行重新排序。本文利用和和和序诱导变量提出了一种新的平均聚合算子。这种方法产生了诱导有序加权平均和(IOWAS)。IOWAS操作符使用基于顺序诱导变量的复杂重新排序过程聚合一组总和。这种方法包括不同类型的聚合结构,包括众所周知的OWA家族。本文通过使用广义和准算术方法给出了附加的推广。文章最后以一个简单的数值例子说明了如何使用这种新方法进行聚合。
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Induced aggregation operators in the ordered weighted average sum
The ordered weighted average (OWA) aggregation is an extension of the classical weighted average by using a reordering process of the arguments in a decreasing or increasing way. This article presents new averaging aggregation operators by using sums and order inducing variables. This approach produces the induced ordered weighted average sum (IOWAS). The IOWAS operator aggregates a set of sums using a complex reordering process based on order-inducing variables. This approach includes a different types of aggregation structures including the well-known OWA families. The work presents additional generalizations by using generalized and quasi-arithmetic means. The paper ends with a simple numerical example that shows how to aggregate with this new approach.
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