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On mean type aggregation

机译:关于均值类型聚合

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摘要

We introduce and define the concept of mean aggregation of a collection of n numbers. We point out that the lack of associativity of this operation compounds the problem of the extending mean of n numbers to n+1 numbers. The closely related concepts of self identity and the centering property are introduced as one imperative for extending mean aggregation operators. The problem of weighted mean aggregation is studied. A new concept of prioritized mean aggregation is then introduced. We next show that the technique of selecting an element based upon the performance of a random experiment can be considered as a mean aggregation operation.
机译:我们引入并定义了n个数字的均值聚合的概念。我们指出,该操作缺乏关联性,使n数均值扩展到n + 1数的问题更加复杂。引入了与自我身份和居中属性密切相关的概念,作为扩展均值聚合算子的必要条件。研究了加权均值聚合问题。然后介绍了优先平均聚合的新概念。接下来,我们表明基于随机实验的性能选择元素的技术可以被视为平均聚合操作。

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