Human Focused Summarizing Statistics Using OWA Operators

Scalable Fuzzy Algorithms for Data Management and Analysis Pub Date : 1900-01-01 DOI:10.4018/978-1-60566-858-1.CH009

R. Yager

引用次数: 4

Abstract

While many applications make use of the Ordered Weighted Averaging (OWA) operator (Yager, 1988) one under-explored application has been in summarizing data sets. We note that formally the OWA operator can be used to model different types of summarizing statistics depending on the choice of OWA weighting vector. Summarizing statistics are of particular importance in the field of data management and analysis and data mining (Tan, Steinbach & Kumar, 2006; Bouchon-Meunier, Rifqi & Lesot, 2008). Among the most well known summarizing statistics are the average, median and mode. While these have been extremely useful they don’t completely enable the kinds of sophisticated analysis desired by modern AbsTRACT

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使用OWA操作符以人为中心汇总统计信息

虽然许多应用程序都使用了有序加权平均(OWA)算子(Yager, 1988)，但一个未被开发的应用是汇总数据集。我们注意到，根据OWA权重向量的选择，在形式上可以使用OWA算子对不同类型的汇总统计数据建模。总结统计数据在数据管理和分析以及数据挖掘领域尤为重要(Tan, Steinbach & Kumar, 2006;Bouchon-Meunier, Rifqi & Lesot, 2008)。其中最著名的汇总统计是平均值、中位数和众数。虽然这些方法非常有用，但它们并不能完全实现现代AbsTRACT所需要的各种复杂分析

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Scalable Fuzzy Algorithms for Data Management and Analysis

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