An Inherent Difficulty in the Aggregation of Multidimensional Data

Volume: 28, Issue: 3, Pages: 602 - 606
Published: Mar 1, 2020
Abstract
In the field of information fusion, the problem of data aggregation has been formalized as an order-preserving process that builds upon the property of monotonicity. However, fields such as computational statistics, data analysis, and geometry usually emphasize the role of equivariances to various geometrical transformations in aggregation processes. Admittedly, if we consider a unidimensional data fusion task, both requirements are often...
Paper Details
Title
An Inherent Difficulty in the Aggregation of Multidimensional Data
Published Date
Mar 1, 2020
Volume
28
Issue
3
Pages
602 - 606
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