.png){kind=icon}
返回
Cardinality-limiting extended pre-aggregation functions
.png){kind=icon}
PRE
AI
DOI：10.1016/j.inffus.2021.05.004.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Aggregation functions, which are at the heart of a number of information fusion processes, allow summarization of multiple inputs into a single representative value. Extended aggregation functions are defined such that the input data can be of varying cardinality, with the implication that there is some consistency across the methods of calculation. This article formalizes an approach to extended aggregation such that contributions of repeated inputs or regions of high density are limited in their ability to influence the final value. We establish important definitions and properties, in particular around whether such functions will be monotone or directionally monotone. We then propose a powerful construction method for extended pre-aggregation functions. Illustrative examples are provided throughout.
Keyword:
Aggregation function
Pre-aggregation function
Extended aggregation function
Directional monotonicity
Cardinality-limiting function
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
15.5
论文数:
4.2K
被引数:
2.7W
.png){kind=icon}
查看更多内容